User Experience Design Manager - HiH - Evernorth

📍 Job Overview

Job Title: DesignOps Manager - HiH - Evernorth

Company: Cigna Healthcare

Location: Hyderabad, Telangana, India

Job Type: FULL_TIME

Category: Operations - Design Operations / UX Program Management

Date Posted: May 06, 2026

Experience Level: 10+ Years

Remote Status: Hybrid

🚀 Role Summary

• Lead and optimize DesignOps and ContentOps practices to enhance operational efficiency, predictability, and quality across enterprise programs within a tech-driven design organization.

• Govern the end-to-end lifecycle of the design system, encompassing component libraries, documentation, contribution models, and version control, while progressively integrating automation and AI-assisted governance.

• Oversee resource planning, project intake, prioritization, and execution across design, content, product, and engineering teams, leveraging agile methodologies and project management tools.

• Champion accessibility standards (WCAG, ADA, inclusive design) and ensure AI-generated design and content outputs undergo ethical, bias, and inclusivity audits, adhering to data privacy regulations (GDPR, HIPAA).

📝 Enhancement Note: This role is positioned at a senior management level, focusing on operational excellence and strategic implementation of DesignOps and ContentOps, with a significant emphasis on integrating AI and ensuring ethical governance within a large healthcare technology organization. The Hyderabad location suggests a key hub for global operations and development.

📈 Primary Responsibilities

• Lead and manage multidisciplinary design and content teams, balancing people leadership, delivery excellence, and long-term capability building.

• Streamline, scale, and continuously optimize design and content workflows using tools such as Figma, Supernova, and emerging AI-enabled platforms.

• Establish and mature DesignOps and ContentOps practices to improve operational efficiency, predictability, and quality across enterprise programs.

• Oversee resource planning, project intake, prioritization, and execution across design, content, product, and engineering teams.

• Govern the end-to-end lifecycle of the design system, including component libraries, documentation, contribution models, and version control.

• Define and evolve governance frameworks for design systems and content architecture, progressively introducing automation-first and AI-assisted governance.

• Partner with engineering teams to integrate design systems seamlessly into development pipelines, enabling reuse, consistency, and scalability.

• Leverage Figma Analytics and system telemetry to identify adoption gaps, workflow inefficiencies, and opportunities to advance enterprise DesignOps maturity.

• Own and manage the design roadmap backlog, including story definition, prioritization, and dependency management.

• Lead Program Increment (PI) planning and agile ceremonies using tools such as JIRA, Wrike, or equivalent platforms.

• Define and maintain effective engagement models with US, HIH, and global teams to enable strong cross-functional collaboration.

• Act as a strong accessibility advocate, ensuring adherence to WCAG, ADA, and inclusive design standards across design and content outputs.

• Collaborate closely with teams focused on content architecture and content strategy to ensure alignment with experience and system goals.

• Oversee large-scale content development initiatives, integrating intelligent tooling and automation to improve efficiency and consistency.

• Define, implement, and enforce AI usage policies governing design and content workflows and tools.

• Introduce Human-in-the-Loop (HITL) checkpoints to maintain creative integrity, brand consistency, and quality standards in AI-assisted workflows.

• Conduct ethical, bias, and inclusivity audits of AI-generated design and content outputs as AI adoption matures.

• Ensure compliance with data privacy and regulatory requirements, including GDPR and HIPAA, across AI-driven design and content processes.

• Work closely with engineering and platform teams to embed AI capabilities into design systems, content pipelines, and operational workflows.

• Lead change management initiatives that support responsible AI adoption and evolving ways of working within design teams.

• Promote a culture of innovation, ethical responsibility, experimentation, and continuous learning across the design organization.

• Mentor and coach designers and content practitioners, supporting career progression from execution to systems thinking and AI fluency.

• Build and evolve team maturity models that enable organic growth from foundational practices to scalable, intelligent workflows.

• Guide teams responsible for content architecture and strategy, ensuring their skill growth aligns with advances in AI, personalization, and intelligent content systems.

📝 Enhancement Note: The responsibilities clearly outline a strategic leadership role focused on operationalizing design and content processes, with a strong emphasis on AI integration, ethical considerations, and cross-functional collaboration. The mention of specific tools like Figma, Supernova, JIRA, and Wrike, alongside concepts like PI planning and HITL, indicates a need for practical, hands-on experience in modern operational frameworks.

🎓 Skills & Qualifications

Education: Bachelor’s or Master’s degree in a relevant discipline (e.g., Design, Computer Science, Information Management, Business Operations) or equivalent practical experience.

Experience:

• Overall experience of 10 to 12 years.

• Minimum of 8+ years in DesignOps, UX Program Management, or related operational roles within tech-driven design organizations.

Required Skills:

• Design Systems Management: Expertise in governing the end-to-end lifecycle of design systems, including component libraries, documentation, contribution models, and version control.

• AI-Enabled Tools & Governance: Hands-on experience with AI-enabled design tools (e.g., Figma AI, Co-pilot, Supernova) and a solid understanding of AI governance principles, including ethical design, bias audits, and compliance with data privacy regulations (GDPR, HIPAA).

• Workflow Optimization & Process Governance: Proven ability to streamline, scale, and optimize design and content workflows, establishing and maturing DesignOps and ContentOps practices.

• Agile Methodologies & Project Management: Proficiency in project management tools (JIRA, Wrike, Confluence) and agile frameworks, including experience with Program Increment (PI) planning and agile ceremonies.

• Cross-functional Collaboration & Stakeholder Management: Ability to define and maintain effective engagement models with diverse teams (US, HIH, global) and manage stakeholders across different functions.

• Accessibility Standards: Strong advocacy and practical knowledge of WCAG, ADA, and inclusive design standards.

• Prompt Engineering: Skilled in prompt engineering and guiding teams on effective AI tool usage for design and content creation.

• Data-Driven Decision-Making: Strong analytical skills for tracking operational KPIs, leveraging system telemetry (e.g., Figma Analytics), and making data-informed operational improvements.

• Change Management: Demonstrated ability to lead change management initiatives supporting AI adoption and evolving work practices.

• Human-in-the-Loop (HITL) Implementation: Experience in implementing and managing HITL frameworks for AI-driven design processes.

Preferred Skills:

• Experience in integrating AI into design systems and collaborating with engineering teams on AI workflows.

• Familiarity with content architecture and content strategy principles.

• Experience in healthcare technology or a related regulated industry.

• Team leadership and mentorship experience, including building team maturity models.

• Experience with Supernova or similar design system management platforms.

📝 Enhancement Note: The qualifications emphasize deep experience in both traditional DesignOps/UX Program Management and emerging AI-driven operational practices. The requirement for specific tool proficiency (Figma, Supernova, JIRA, Wrike) and AI governance knowledge highlights the role's focus on modern operational excellence. The blend of strategic thinking, results-driven execution, and adaptability is a recurring theme.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• DesignOps Transformation Case Studies: Showcase instances where you optimized design workflows, implemented new processes, or scaled design operations, demonstrating measurable improvements in efficiency, quality, or predictability.

• Design System Governance Frameworks: Provide examples of established or evolved design system governance models, detailing component library management, contribution guidelines, version control strategies, and adoption metrics.

• AI Integration & Governance Examples: Present case studies or documentation illustrating how AI tools were integrated into design workflows, including examples of prompt engineering, HITL implementation, and ethical/bias audit processes.

• Cross-functional Collaboration Models: Illustrate how you built and maintained effective engagement models with engineering, product, and content teams, highlighting successful collaboration strategies and outcomes.

• Process Optimization Documentation: Include documentation of process improvements, workflow diagrams, and operational metrics that demonstrate a data-driven approach to enhancing design and content delivery.

Process Documentation:

• Workflow Design & Optimization: Examples of documented workflows for design and content creation, highlighting phases of optimization, automation, and integration with AI tools.

• System Implementation & Integration: Documentation related to the implementation or enhancement of design systems, collaboration platforms, or AI tools, including integration strategies with development pipelines.

• Metrics & Performance Analysis: Evidence of defining, tracking, and analyzing key operational performance indicators (KPIs) for design and content operations, such as adoption rates, cycle times, and quality scores.

📝 Enhancement Note: For a role of this seniority and focus on operational excellence, a portfolio is crucial. It should not just list responsibilities but demonstrate tangible impact through documented processes, case studies of optimization, and clear metrics showcasing efficiency gains, successful AI integration, and robust design system governance. The emphasis on AI and ethical considerations in the portfolio is paramount.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for DesignOps Managers with 10-12 years of experience in major Indian tech hubs like Hyderabad, a competitive salary range would typically fall between ₹25,00,000 to ₹45,00,000 per annum. This estimate considers the seniority of the role, the specialized skills in DesignOps, AI integration, and Design Systems Management, and the cost of living in Hyderabad.

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision) for employees and dependents, aligning with Cigna's core business.

• Generous paid time off (PTO), including vacation days, sick leave, and public holidays.

• Retirement savings plan options (e.g., Provident Fund) with potential company matching.

• Professional development opportunities, including access to training, conferences, and certifications relevant to DesignOps, AI, and leadership.

• Employee Assistance Program (EAP) offering confidential counseling and support services.

• Performance-based bonuses and potential for stock options or long-term incentives.

• Opportunities for international and domestic travel for collaboration with global teams.

• Access to Cigna's wellness programs and initiatives.

• Hybrid work environment offering flexibility and work-life balance.

Working Hours: Standard full-time working hours are typically 40 hours per week, with flexibility often provided to accommodate cross-time zone collaboration and project demands. The role may require occasional work outside standard business hours to support global teams or critical project deadlines.

📝 Enhancement Note: Salary is an estimate based on market data for similar roles in India. Cigna, as a large healthcare organization, is expected to offer a robust benefits package, with a particular emphasis on health and wellness benefits reflecting their industry. The hybrid work arrangement is noted, and the potential need for flexible hours is common for global leadership roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: Healthcare Services / Health Insurance Technology. Evernorth Health Services, a division of The Cigna Group, operates at the intersection of healthcare delivery, pharmacy benefits, and advanced technology solutions. This industry context emphasizes a commitment to improving health outcomes, driving innovation, and adhering to strict regulatory compliance (HIPAA, GDPR).

Company Size: Large Enterprise (The Cigna Group is a Fortune 500 company with tens of thousands of employees globally). This size indicates a complex organizational structure, extensive resources, established processes, and opportunities for significant impact and career progression. For operations professionals, this means working within established frameworks while having the potential to influence large-scale initiatives.

Founded: The Cigna Group has a long history, with roots dating back to the 18th century, though Evernorth as a distinct health services division is more recent. This heritage suggests a stable, established organization with a long-term vision, combined with the agility of a newer division focused on innovation in health services.

Team Structure:

• DesignOps & ContentOps Focus: The role sits within a specialized DesignOps and ContentOps function, likely part of a larger Digital or Product organization within Evernorth. This team is responsible for the operational excellence of design and content creation.

• Reporting Structure: The DesignOps Manager will likely report to a Director or VP of Design/Product Operations or a similar senior leadership role overseeing digital product development.

• Cross-functional Collaboration: This role necessitates deep collaboration with Product Management, Engineering, UX Research, Content Strategy, Accessibility Teams, Legal, and Compliance, both within the Hyderabad hub and with global (particularly US-based) counterparts.

Methodology:

• Data-Driven Operations: Emphasis on using metrics, analytics (Figma Analytics, system telemetry), and data to identify inefficiencies, measure impact, and drive continuous improvement in design and content workflows.

• Agile & Lean Principles: Application of agile ceremonies (PI Planning, stand-ups), lean methodologies for workflow optimization, and a focus on iterative development and deployment.

• Systems Thinking & Scalability: A focus on building scalable systems, processes, and frameworks (Design Systems, Content Architecture) that can support enterprise-wide initiatives and future growth.

Company Website: https://www.cigna.com/ and https://www.evernorth.com/

📝 Enhancement Note: The company context highlights a blend of stability and innovation within the healthcare technology sector. The emphasis on DesignOps, AI, and ethical governance within a large enterprise suggests a forward-thinking approach to digital product development, with significant opportunities for operational leaders to shape processes and impact. The Hyderabad location signifies a key global operational center.

📈 Career & Growth Analysis

Operations Career Level: This is a senior management role, specifically focused on Design Operations and Content Operations. It requires a blend of deep operational expertise, strategic thinking, people leadership, and a forward-looking understanding of technology trends like AI. The scope includes managing complex workflows, governing critical systems (Design Systems), and driving significant organizational change.

Reporting Structure: The DesignOps Manager will likely report to a Director or VP of Design, Product Operations, or a similar senior executive responsible for digital product development and operational efficiency. The role will involve managing a team of designers, operations specialists, or program managers, and collaborating extensively with peers in engineering, product, and other GTM functions.

Operations Impact: This role has a direct and significant impact on the efficiency, quality, and scalability of digital product development within Evernorth. By optimizing workflows, managing design systems, and integrating AI responsibly, the DesignOps Manager directly contributes to:

• Faster Time-to-Market: Streamlined processes reduce development cycles.

• Improved Product Quality: Consistent design and content standards enhance user experience and reduce errors.

• Cost Efficiency: Automation and optimized resource allocation reduce operational costs.

• Enhanced Innovation: Empowering design teams with better tools and processes fosters creativity and adoption of new technologies like AI.

• Regulatory Compliance: Ensuring adherence to accessibility and data privacy standards mitigates risk.

Growth Opportunities:

• Leadership Advancement: Potential to grow into Director or VP-level roles within Design Operations, Product Operations, or broader Digital/Technology leadership.

• Specialization in AI Operations: Deepen expertise in AI governance, AI integration into creative workflows, and ethical AI practices, becoming a subject matter expert in a rapidly evolving field.

• Strategic Operations Leadership: Transition into broader strategic operations roles across the enterprise, leveraging a strong foundation in optimizing complex GTM functions.

• Cross-functional Leadership: Opportunity to lead larger, more complex cross-functional initiatives involving product, engineering, and business units.

• Mentorship & Team Building: Develop leadership capabilities by mentoring and growing teams of operations professionals and designers.

📝 Enhancement Note: The career path for a DesignOps Manager in a large organization like Cigna is typically towards broader operational leadership or deeper specialization in areas like AI in design. The role offers significant influence and the opportunity to shape how a major healthcare company innovates its digital offerings.

🌐 Work Environment

Office Type: This position is designated as Hybrid. This implies a mix of working remotely and from a physical office location. The specific balance of remote vs. in-office days will likely be determined by team policy, project needs, and individual agreement.

Office Location(s): The primary office location is Hyderabad, India (HIH - Hyderabad). This location is a significant hub for Cigna Healthcare's global operations, particularly in technology and development. The presence of "HiH" in the title suggests a specific facility or operational center within Hyderabad.

Workspace Context:

• Collaborative Environment: The hybrid model and the emphasis on cross-functional collaboration suggest a workspace designed to facilitate teamwork, whether in person or virtually. Expect meeting rooms, common areas for informal discussions, and dedicated team spaces.

• Technology & Tools: Access to state-of-the-art design tools (Figma, Supernova), project management software (JIRA, Wrike), AI-powered platforms, and robust IT infrastructure to support seamless remote and in-office work.

• Team Interaction: Opportunities for regular interaction with local Hyderabad teams (designers, engineers, operations specialists) and frequent virtual interactions with global teams, requiring strong communication and virtual collaboration skills.

Work Schedule: Standard full-time work hours (approximately 40 hours per week) are expected, with flexibility to accommodate global collaboration. This might involve early morning or late evening calls with US-based teams. The hybrid nature allows for some autonomy in managing the work schedule.

📝 Enhancement Note: The hybrid nature of the role in a major global hub like Hyderabad implies a modern, flexible work environment. The emphasis on collaboration and technology is critical for success in managing distributed and multi-disciplinary teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial screening call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into experience, leadership style, and specific DesignOps/AI expertise. Expect questions about your approach to workflow optimization, design system governance, and AI integration.

• Technical/Panel Interviews: This may involve interviews with peer managers, senior designers, engineering leads, or operations specialists. Expect scenario-based questions, problem-solving exercises, and discussions around your technical proficiency with relevant tools and methodologies.

• Portfolio Review: A dedicated session where you will present your portfolio. This is critical for demonstrating your impact and capabilities. Be prepared to walk through specific case studies, explain your process, and articulate the results achieved.

• Final Interview/Executive Review: Potentially a final interview with a senior executive to assess strategic alignment, leadership potential, and overall fit within the organization's vision.

Portfolio Review Tips:

• Showcase Impact, Not Just Tasks: For each project, clearly articulate the problem, your solution, the process you followed (emphasizing DesignOps/AI aspects), and the quantifiable results (efficiency gains, cost savings, improved quality, adoption rates).

• Highlight AI Integration & Governance: Dedicate sections or specific examples to how you've implemented AI in design workflows, managed AI governance, conducted bias audits, or utilized prompt engineering.

• Demonstrate Design System Expertise: Present your experience with design system management, including contributions to component libraries, documentation, and adoption strategies.

• Structure for Clarity: Organize your portfolio logically, perhaps by functional area (e.g., Workflow Optimization, Design Systems, AI Operations) or by project type. Use clear headings, concise descriptions, and strong visuals.

• Practice Your Narrative: Rehearse your presentation to ensure a smooth flow, clear articulation of your contributions, and confident responses to questions. Be ready to discuss challenges and how you overcame them.

Challenge Preparation:

• DesignOps Scenario: Be prepared for a hypothetical scenario where you need to diagnose and improve a design process, implement a new tool, or scale a design system within a large organization.

• AI Governance Case Study: You might be asked to outline a strategy for introducing AI tools into a design team, including risk mitigation, ethical considerations, and change management plans.

• Process Flow Mapping: You may be asked to map out a current design workflow and identify areas for optimization, automation, or AI integration.

• Metrics & KPI Definition: Be ready to discuss how you would define and track key metrics for DesignOps and AI adoption.

📝 Enhancement Note: The interview process will heavily scrutinize practical application of DesignOps principles, hands-on experience with AI tools and governance, and the ability to demonstrate tangible results through a portfolio. Preparation should focus on articulating strategic thinking backed by concrete examples and metrics.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), with potential exposure to Supernova. Proficiency in Figma's core features, collaboration capabilities, and analytics is essential.

• Design System Management: Tools and methodologies for managing component libraries, style guides, and design tokens. This includes version control and contribution workflows.

• AI-Powered Design Tools: Experience with AI assistants integrated into design software (e.g., Figma AI, Adobe Co-pilot), AI content generation tools, and platforms that leverage AI for workflow automation.

• Prompt Engineering Tools: Familiarity with platforms or methodologies for crafting effective prompts for AI models used in design and content.

Analytics & Reporting:

• Figma Analytics: Leveraging data from Figma to understand component usage, adoption rates, and workflow bottlenecks.

• System Telemetry: Utilizing data from various operational systems to track performance, identify trends, and inform decision-making.

• Business Intelligence Tools: Potential exposure to BI tools for creating dashboards and reports on operational KPIs.

CRM & Automation:

• Project Management & Workflow Tools: JIRA, Wrike, Confluence (or similar) for managing backlogs, tracking projects, agile ceremonies, and documentation.

• Workflow Automation Platforms: Tools that facilitate the automation of repetitive design and content tasks.

• Collaboration Platforms: Microsoft Teams, Slack, or similar for daily communication and team collaboration.

📝 Enhancement Note: The technology stack is heavily focused on modern design and operational tools, with a significant emphasis on AI integration and analytics. Proficiency in Figma and project management tools like JIRA is critical. Experience with AI-specific design tools and prompt engineering is a key differentiator.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision-Making: A strong emphasis on using data and analytics to inform operational strategies, measure effectiveness, and drive continuous improvement. Operations professionals are expected to be analytical and evidence-based.

• Efficiency & Optimization: A core value centered on streamlining processes, automating tasks, and continuously seeking ways to improve operational efficiency and reduce waste.

• Collaboration & Partnership: Fostering strong working relationships across departments (Product, Engineering, Marketing, Legal) is paramount. Operations professionals act as facilitators and enablers for cross-functional success.

• Ethical Innovation & Responsibility: Particularly in the healthcare sector and with AI integration, there's a strong emphasis on ethical practices, bias mitigation, data privacy, and responsible technology adoption.

• Continuous Learning & Adaptability: The dynamic nature of technology and operations requires a commitment to staying abreast of new tools, methodologies, and industry best practices, particularly in areas like AI and automation.

Collaboration Style:

• Proactive & Consultative: Operations teams are expected to be proactive in identifying needs and challenges, offering solutions, and consulting with stakeholders to ensure alignment and buy-in.

• Transparent & Communicative: Open and clear communication regarding processes, project status, and operational changes is essential for building trust and managing expectations.

• Process-Oriented & Structured: While valuing innovation, the approach to collaboration is often structured around established processes, workflows, and project management frameworks to ensure predictability and quality.

• Feedback-Driven: A culture that encourages constructive feedback on processes, tools, and collaboration effectiveness to enable ongoing refinement and improvement.

📝 Enhancement Note: The culture within a large healthcare tech company like Cigna, especially in an operational role, emphasizes rigor, collaboration, and a commitment to ethical practices. The integration of AI adds a layer of responsibility for innovation and risk management.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace of AI Evolution: Keeping pace with the rapid advancements in AI technology and integrating new capabilities responsibly and effectively into design and content workflows.

• Balancing Automation with Human Oversight: Establishing and maintaining effective Human-in-the-Loop (HITL) processes that leverage AI's efficiency without compromising creative integrity, brand consistency, or ethical standards.

• Cross-Cultural & Cross-Time Zone Collaboration: Managing diverse teams and stakeholders across different geographies (US, India, global) and time zones requires sophisticated communication and coordination strategies.

• Driving Adoption of New Processes & Tools: Overcoming resistance to change and effectively managing the adoption of new DesignOps practices, AI tools, and design system components across a large organization.

• Ensuring Ethical AI and Compliance: Navigating the complexities of AI ethics, bias mitigation, data privacy (GDPR, HIPAA), and accessibility standards in a regulated industry.

Learning & Development Opportunities:

• AI Strategy & Implementation: Deepen expertise in AI strategy for creative operations, including advanced prompt engineering, AI governance frameworks, and leveraging AI for predictive analytics in design.

• Advanced Design Systems: Become a leader in evolving design systems to incorporate AI-generated components, adaptive interfaces, and personalized user experiences.

• Leadership & People Management: Develop advanced skills in managing, mentoring, and growing high-performing distributed teams, focusing on talent development in areas like AI fluency and systems thinking.

• Industry Certifications & Conferences: Access to industry events, training programs, and certifications related to DesignOps, AI in Design, Agile methodologies, and leadership.

• Cross-functional Strategy: Opportunities to contribute to broader GTM and product strategy discussions, leveraging operational insights to influence business outcomes.

📝 Enhancement Note: The role presents significant challenges at the forefront of AI integration in creative operations, balanced by substantial growth opportunities in leadership and specialized technical domains. Addressing these challenges will require strategic thinking, strong change management skills, and a commitment to continuous learning.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to establishing and evolving a Design System governance framework, particularly in a large, distributed organization. How would you integrate AI into this process?"

• "Walk me through a time you optimized a design workflow. What was the problem, what tools and methodologies did you use, what were the key challenges, and what were the measurable results?"

• "How would you define and implement AI usage policies for a design team, ensuring ethical considerations, bias mitigation, and compliance with regulations like GDPR and HIPAA?"

• "Imagine a situation where design and engineering teams have conflicting priorities. How would you facilitate collaboration and ensure alignment towards shared project goals?"

Company & Culture Questions:

• "What interests you about Cigna Healthcare and Evernorth's mission to improve health and vitality?"

• "How do you foster a culture of innovation, ethical responsibility, and continuous learning within a design operations team?"

• "Describe your experience working with global teams and managing cross-cultural communication challenges."

Portfolio Presentation Strategy:

• Start with Impact: Begin each case study with the business problem and the quantifiable impact of your work.

• Detail the Process: Clearly explain your role, the methodologies used (DesignOps, AI, Agile), the tools involved, and the specific steps you took.

• Highlight AI & Governance: Explicitly call out instances where you managed AI integration, prompt engineering, or ethical governance.

• Showcase Design System Maturity: Present examples of your work in managing, contributing to, or scaling design systems.

• Quantify Results: Use data, metrics, and case study outcomes to demonstrate the success of your initiatives (e.g., "reduced design cycle time by 20%", "increased component adoption by 30%", "implemented AI content generation resulting in 15% efficiency gain").

• Be Prepared for Deep Dives: Anticipate detailed questions about your contributions, decision-making rationale, and how you handled challenges.

📝 Enhancement Note: Preparation should focus on articulating strategic problem-solving abilities, demonstrating hands-on experience with modern operational tools and AI, and clearly quantifying the impact of your work through detailed portfolio examples. Understanding Cigna's mission and the healthcare industry context will be beneficial.

📌 Application Steps

To apply for this DesignOps Manager position:

• Submit Your Application: Complete the online application form through the provided Cigna Careers portal link.

• Tailor Your Resume: Ensure your resume highlights your 8+ years of direct experience in DesignOps, UX Program Management, and Design Systems. Strategically integrate keywords from the job description such as "DesignOps," "AI Governance," "Figma," "Agile," "Prompt Engineering," and "HIPAA Compliance." Quantify achievements with metrics whenever possible.

• Curate Your Portfolio: Prepare a compelling portfolio that showcases your experience in workflow optimization, design system management, and AI integration. Focus on case studies with clear problem statements, your process, measurable results, and ethical considerations for AI. Ensure it's easily accessible (e.g., a personal website, PDF, or dedicated platform).

• Prepare for Interview Questions: Practice articulating your experience using the STAR method (Situation, Task, Action, Result), especially for behavioral and situational questions. Be ready to discuss your approach to leadership, change management, and navigating complex organizational dynamics.

• Research Cigna and Evernorth: Understand the company's mission, values, and recent initiatives in healthcare services and digital innovation. Familiarize yourself with their approach to technology and user experience.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.