Design Manager (Product & Optimization) (Cuauhtémoc, Ciudad de México)

BBVA
Full-time•Ciudad de México, Mexico
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📍 Job Overview

Job Title: Design Manager (Product & Optimization)

Company: BBVA

Location: Cuauhtémoc, Ciudad de México, Mexico

Job Type: Full-time

Category: Product Design & Optimization Operations

Date Posted: October 1, 2026

Experience Level: 5-10 years

Remote Status: Hybrid

🚀 Role Summary

  • Lead and mentor a team of design professionals, fostering autonomy and technical expertise in complex problem-solving.

  • Drive strategic product development and optimization initiatives, ensuring alignment between user needs, business objectives, and technical feasibility through advanced data interpretation, research, and structured experimentation.

  • Evaluate and champion the adoption of new technologies, including AI, to scale team capabilities and enhance design solutions.

  • Facilitate cross-functional dialogues with stakeholders and business units, positioning design as a strategic imperative.

📝 Enhancement Note: This role is framed as a "Design Manager" but the core responsibilities heavily lean into the operational aspects of product development, optimization, and the strategic integration of data and technology. Therefore, it's categorized under Product Design & Optimization Operations, with an emphasis on the "Operations" aspect of managing processes, driving efficiency, and leveraging data for strategic decision-making, aligning with revenue operations and GTM principles.

📈 Primary Responsibilities

  • Provide mentorship and development for the design team, enhancing their technical autonomy and critical thinking in addressing complex challenges.

  • Spearhead strategic initiatives in product development and optimization, ensuring seamless integration of user needs, business goals, and technical viability via advanced data analysis, research methodologies, and structured experimentation frameworks.

  • Assess and advocate for the integration of emerging technologies and AI to expand the team's capacity and enrich design outcomes.

  • Lead strategic discussions with stakeholders and business leaders, influencing decision-making to embed design as a core strategic driver within the organization.

  • Ensure end-to-end quality of design solutions by guiding the team through technically or strategically complex challenges to maximize delivered value.

  • Translate qualitative and quantitative research findings into actionable hypotheses, structuring experimentation and testing frameworks to validate decisions and drive iterative solution evolution.

  • Orchestrate the proactive integration of AI into workflows, demonstrating its viability through concrete use cases to scale team impact and enhance value proposition personalization.

📝 Enhancement Note: The responsibilities emphasize a blend of people management, strategic leadership, and hands-on operational execution in design and product. The focus on "structuring experimentation frameworks," "translating findings into actionable hypotheses," and "orchestrating AI integration" points to a strong operational component that requires process definition, execution oversight, and performance measurement, aligning with GTM and Revenue Operations principles.

🎓 Skills & Qualifications

Education:

  • Required: Bachelor's degree in Design, Digital Design, Interaction Design, Communications, Psychology, Engineering, Technology, Business, or related disciplines focused on digital product and service development.

  • Preferred: Master's degree, specialization, or advanced training in Digital Product/Service Design, Innovation, Technology, Artificial Intelligence, Data Analytics, Business, or related fields.

Experience:

  • A minimum of 5 years in UX and digital product design, with demonstrated experience in leading teams, working with design systems, conducting user research, and implementing processes or automation involving AI.

  • Experience in data-driven decision-making, experimentation, and hypothesis validation is crucial.

  • Proven track record in management and stakeholder engagement. Required Skills:

  • User-Centered Design (UCD) Methodologies

  • Qualitative and Quantitative Research

  • Digital Product Design and Development

  • Design Systems

  • Data-Driven Decision-Making

  • Experimentation and Hypothesis Validation

  • Management and Team Leadership

  • Applied Artificial Intelligence in Design and Product

  • Stakeholder Management

  • Business Acumen Preferred Skills:

  • Advanced Data Analytics and Interpretation

  • AI Strategy and Implementation

  • Product Optimization Frameworks

  • Agile Product Development Methodologies

  • Cross-functional Collaboration

  • Change Management

  • Strategic Planning

📝 Enhancement Note: The extensive list of required knowledge areas, particularly "Data-driven decision-making," "Experimentation and hypothesis validation," and "Applied Artificial Intelligence," signals a need for operational rigor. Candidates will be expected to not just design, but to operationalize processes that leverage data and AI for continuous product improvement and optimization, a key GTM and RevOps function.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase of impactful digital product design projects demonstrating end-to-end ownership from conception to launch and iteration.

  • Case studies detailing how user research (qualitative and quantitative) was translated into actionable design decisions and product improvements.

  • Examples of implementing and managing Design Systems to ensure consistency and scalability across products.

  • Demonstrations of data-driven decision-making, including how metrics and experimentation were used to validate hypotheses and drive product optimization.

  • Evidence of leading design initiatives, including team collaboration, stakeholder communication, and strategic influence. Process Documentation:

  • Workflow designs and optimization strategies for design processes, from ideation to implementation.

  • Examples of structuring and executing experimentation frameworks for hypothesis testing and validation.

  • Documentation of how AI and new technologies were integrated into design workflows to enhance efficiency and outcomes.

  • Case studies illustrating the impact of design interventions on key business metrics and user satisfaction.

📝 Enhancement Note: For a role involving "Product & Optimization," a portfolio that highlights process, data utilization, and measurable impact is critical. Candidates should be prepared to showcase not just finished designs, but the operational methodologies behind them, including how they've structured experiments, leveraged data, and driven continuous improvement through their design leadership. This aligns with the need for operations professionals to demonstrate process ownership and measurable business outcomes.

💵 Compensation & Benefits

Salary Range:

Based on industry benchmarks for Design Managers with 5-10 years of experience in a major metropolitan area like Mexico City, and considering BBVA's standing as a large financial institution, a competitive annual salary range can be estimated between MXN $600,000 to MXN $1,100,000. This estimate accounts for the hybrid work model, leadership responsibilities, and the specialized skills in product optimization and AI.

Benefits:

  • Comprehensive health insurance, including medical, dental, and vision coverage.

  • Life insurance and disability benefits.

  • Retirement savings plan (e.g., Afore contributions).

  • Paid time off, including vacation days, national holidays, and personal days.

  • Professional development opportunities, including training, workshops, and potential for advanced education support.

  • Access to BBVA's internal learning platforms and resources.

  • Employee assistance programs for well-being and mental health support.

  • Potential for performance-based bonuses or incentives.

  • Hybrid work model offering flexibility with 2 days in office and 3 days remote. Working Hours:

  • Standard full-time work hours, estimated at 40 hours per week.

  • The hybrid model allows for flexibility, with 3 days of remote work, enabling better work-life balance for tasks requiring focused individual work or data analysis.

📝 Enhancement Note: The salary estimate is based on researching typical Design Manager compensation in Mexico City for candidates with 5-10 years of experience, factoring in the hybrid work arrangement and the advanced technical skills required (AI, data-driven decision-making). This is a critical piece of information for operations professionals to benchmark their expectations.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services / Banking Technology. BBVA is a global financial institution that is heavily invested in digital transformation and innovation, positioning itself at the intersection of finance and technology. This means a culture that values data-driven insights, customer-centricity, and technological advancement, including AI.

Company Size: BBVA operates globally with over 121,000 employees. This large, multinational structure suggests a need for robust, scalable processes and a structured approach to operations, even within design teams. It implies opportunities for working on high-impact projects with significant reach.

Founded: BBVA has a history of over 160 years, indicating a stable, established organization undergoing significant modernization and digital transformation. This blend of tradition and innovation shapes its culture, where established processes are being re-evaluated and enhanced with new technologies and methodologies.

Team Structure:

  • The design team likely operates within a product development or digital transformation division, composed of various design specialists (UX/UI designers, researchers, content strategists).

  • As a Design Manager, this role likely reports to a Director or VP of Product/Design, overseeing a team of individual contributors and potentially junior leads.

  • Cross-functional collaboration is paramount, involving close partnerships with Product Managers, Engineers, Data Scientists, Marketing, and Business Stakeholders to ensure cohesive product strategy and execution. Methodology:

  • Data Analysis and Insights: Emphasis on leveraging qualitative and quantitative data from user research, A/B testing, and product analytics to inform design decisions and drive optimization.

  • Workflow Planning and Optimization: Implementing structured design processes that are efficient, scalable, and adaptable, with a focus on continuous improvement.

  • Automation and Efficiency: Exploring and integrating tools and technologies, particularly AI, to automate repetitive tasks, enhance design capabilities, and accelerate product development cycles.

Company Website: https://www.bbva.com/

📝 Enhancement Note: Understanding BBVA's context as a large, digitally transforming financial institution is key. For operations professionals, this implies a need for structured thinking, a focus on scalable processes, and an appreciation for data and technology's role in driving efficiency and strategic advantage, which are core to GTM and RevOps functions.

📈 Career & Growth Analysis

Operations Career Level: This role sits at a mid-to-senior management level. It requires not just design expertise but also leadership, strategic thinking, and the ability to operationalize design processes. For someone coming from a more execution-focused role, this is a significant step into management and strategic influence within the product lifecycle.

Reporting Structure: The Design Manager will likely report to a Director or VP of Product Design or Digital Transformation. They will manage a team of designers, influencing their development and day-to-day work. This position is critical for translating high-level business objectives into tangible design outcomes and operational processes.

Operations Impact: The impact of this role is significant, directly influencing the user experience and effectiveness of BBVA's digital products. By optimizing product design and leveraging data and AI, this role contributes to:

  • Revenue Growth: Through improved user engagement, conversion rates, and customer retention.

  • Operational Efficiency: By streamlining design processes and enabling scalable solutions.

  • Customer Satisfaction: By delivering intuitive and valuable digital experiences.

  • Innovation: By championing new technologies and methodologies.

Growth Opportunities:

  • Operations Skill Development: Opportunities to deepen expertise in product optimization, data analytics, AI implementation, and cross-functional process management.

  • Leadership Advancement: Potential to grow into a Director-level role overseeing larger design teams or broader product portfolios.

  • Strategic Influence: Increased involvement in product strategy, business planning, and technology roadmapping.

  • Specialization: Focus on areas like AI-driven design, advanced experimentation, or leading large-scale design system initiatives.

  • Mentorship: Continued development of mentoring skills through guiding and growing junior and senior designers.

📝 Enhancement Note: This role represents a critical juncture for operations-minded designers, moving from execution to strategic leadership and process ownership. The growth path emphasizes not just design leadership but also the operationalization of design thinking and technology, aligning with broader GTM and RevOps career trajectories.

🌐 Work Environment

Office Type: The role is based in the Torre BBVA Bancomer in Ciudad de México, a modern corporate headquarters. This suggests a professional, well-equipped office environment designed for collaboration and productivity.

Office Location(s): Cuauhtémoc, Ciudad de México, Mexico. This is a central business district, likely offering good accessibility via public transport and surrounded by amenities.

Workspace Context:

  • Collaborative Environment: The hybrid model (2 days in office, 3 days remote) encourages a blend of in-person collaboration for team meetings, workshops, and brainstorming, alongside focused individual work at home. The office space will likely feature meeting rooms, breakout areas, and open-plan workstations conducive to team interaction.

  • Operations Tools and Technology: Access to standard corporate IT infrastructure, design software, project management tools, and potentially advanced analytics platforms and AI tools that BBVA deploys.

  • Team Interaction: Regular opportunities for interaction with the design team, product managers, engineers, and other stakeholders, both virtually and in person, fostering a dynamic and communicative work culture.

Work Schedule:

  • A standard 40-hour work week is expected.

  • The hybrid arrangement offers flexibility, allowing individuals to manage their time effectively between office presence and remote work, which is beneficial for deep work sessions required for data analysis and strategic planning.

📝 Enhancement Note: The hybrid work environment is a significant factor for operations professionals. The structured office days are likely for high-collaboration activities, while remote days can be optimized for focused analysis, process documentation, and strategic planning, aligning with the operational demands of the role.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on alignment with core requirements, particularly experience in digital product design, team leadership, and understanding of data/AI.

  • Technical/Design Interview: This stage will likely involve a deep dive into the candidate's experience, focusing on their approach to user-centered design, research methodologies, design systems, and problem-solving skills. Expect questions about how they've used data to inform decisions and optimize products.

  • Portfolio Presentation & Case Study: Candidates will be asked to present a selection of their work, highlighting relevant projects that demonstrate their leadership, strategic thinking, and operational approach to design. This is where they'll showcase how they've driven optimization through design, experimentation, and potentially AI.

  • Management & Strategy Interview: This interview will assess leadership capabilities, mentoring style, stakeholder management skills, and strategic vision. Questions will focus on how they build and develop teams, influence stakeholders, and align design with business objectives.

  • Final Interview: Potentially with a senior leader (e.g., VP of Product/Design) to assess cultural fit, long-term vision, and overall suitability for the role and BBVA.

Portfolio Review Tips:

  • Highlight Operational Impact: Focus on case studies that clearly demonstrate how your design leadership drove measurable improvements in product performance, user engagement, conversion rates, or operational efficiency. Quantify results wherever possible.

  • Showcase Data-Driven Processes: Detail your process for using qualitative and quantitative data, research findings, and experimentation to validate hypotheses and make informed design decisions. Explain the frameworks you used.

  • Demonstrate AI Integration: If applicable, present projects where you explored or implemented AI to enhance design processes, personalize user experiences, or drive optimization. Explain the rationale and outcomes.

  • Emphasize Leadership & Collaboration: Include examples of how you mentored and developed team members, managed stakeholders, and influenced strategic decisions. Showcase your ability to foster a collaborative environment.

  • Structure for Clarity: Organize your portfolio logically, perhaps by project type or by showcasing your end-to-end process. Use clear visuals and concise narratives.

Challenge Preparation:

  • Be prepared for a potential design challenge or a problem-solving exercise. This might involve analyzing a hypothetical product scenario, proposing optimization strategies, or outlining an approach to integrating AI into a specific user flow.

  • Practice articulating your thought process clearly, explaining your assumptions, methodologies, and how you would measure success. Focus on demonstrating your strategic and operational thinking, not just creative solutions.

📝 Enhancement Note: The emphasis on a portfolio review that demonstrates "operational impact," "data-driven processes," and "AI integration" is crucial for operations-focused candidates. This role requires more than just design aesthetic; it demands a strategic, analytical, and process-oriented approach to design leadership.

🛠 Tools & Technology Stack

Primary Tools:

  • Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop, XD), InVision, Axure RP.

  • User Research & Testing: UserTesting.com, Lookback, Hotjar, Maze, Qualtrics, SurveyMonkey.

  • Design Systems Management: Storybook, Zeroheight, internal design system platforms.

  • Project Management & Collaboration: Jira, Confluence, Asana, Trello, Slack, Microsoft Teams.

Analytics & Reporting:

  • Web/App Analytics: Google Analytics, Adobe Analytics, Amplitude, Mixpanel.

  • Data Visualization & Dashboards: Tableau, Power BI, Looker, Grafana.

  • A/B Testing & Experimentation Platforms: Optimizely, VWO (Visual Website Optimizer), Google Optimize.

CRM & Automation:

  • While not a direct CRM role, understanding how design impacts CRM and customer journeys is key. Familiarity with CRM principles (e.g., Salesforce, Dynamics 365) and marketing automation tools might be beneficial for understanding broader business context.

  • AI & Machine Learning Platforms: Exposure to AI/ML tools and platforms relevant to design and product optimization (e.g., AI-powered design assistants, predictive analytics tools, personalization engines).

📝 Enhancement Note: The inclusion of analytics and experimentation platforms is critical. Operations professionals are expected to be proficient in using these tools to measure impact, validate hypotheses, and drive continuous improvement. The emphasis on AI and data visualization tools further reinforces the operational, data-driven nature of this role.

👥 Team Culture & Values

Operations Values:

  • Data-Driven Approach: Decisions are guided by data, research findings, and measurable outcomes. The team is expected to champion data-informed design and optimization strategies.

  • Continuous Improvement: A culture of relentless questioning of existing processes and solutions, with a proactive approach to identifying opportunities for enhancement and efficiency gains.

  • Customer Centricity: A deep commitment to understanding and serving user needs, ensuring that design solutions deliver genuine value and a superior experience.

  • Collaboration & Influence: Working effectively across departments, building strong relationships with stakeholders, and influencing decisions through clear communication and demonstrated expertise.

  • Innovation & Adaptability: Embracing new technologies, methodologies, and trends (like AI) with a critical yet open mindset, seeking real-world applications that drive tangible business results.

Collaboration Style:

  • Cross-functional Integration: Design is embedded within product teams, working closely with Product Managers, Engineers, Data Analysts, and Business Leaders. Open communication channels and shared goals are prioritized.

  • Process Review Culture: Regular feedback loops and design critiques are encouraged to foster learning, ensure quality, and refine processes. Constructive feedback is valued as a tool for growth.

  • Knowledge Sharing: A culture that promotes sharing best practices, learnings from experiments, and insights from research across the design team and relevant stakeholders. This includes sharing knowledge about new tools and technologies.

📝 Enhancement Note: The emphasis on "Data-Driven Approach," "Continuous Improvement," and "Innovation & Adaptability" directly aligns with the core tenets of operations roles. These values dictate how work is performed, decisions are made, and how success is measured, which are crucial for operations professionals.

⚡ Challenges & Growth Opportunities

Challenges:

  • Balancing Execution and Strategy: The primary challenge is maintaining a hands-on understanding of design details while providing strategic direction and ensuring a holistic view of product, business, and experience. This requires strong organizational and prioritization skills.

  • Installing a Continuous Improvement Mindset: Shifting organizational perspectives to embrace continuous improvement and data-backed experimentation can be challenging. It requires strong change management and persuasive communication skills.

  • Critical AI/Technology Adoption: Differentiating between fleeting trends and genuine opportunities for AI and new technology application requires rigorous evaluation and a pragmatic approach, avoiding hype for the sake of innovation.

  • Cross-functional Alignment: Ensuring consistent understanding and buy-in on design strategy and its operational implications across diverse stakeholder groups with varying priorities.

Learning & Development Opportunities:

  • Operations Skill Advancement: Deepen expertise in product optimization methodologies, advanced A/B testing, data analytics, and the strategic application of AI in product development.

  • Industry Conferences and Certifications: Opportunities to attend relevant design, product, and technology conferences, and potentially pursue certifications in areas like data science, AI, or product management.

  • Mentorship and Leadership Development: Access to formal or informal mentorship programs, leadership training, and opportunities to develop coaching skills for team growth.

  • Exposure to Global FinTech: Gaining insights into how a large, global financial institution leverages technology and design to drive business outcomes in a rapidly evolving market.

📝 Enhancement Note: Understanding these challenges and growth opportunities helps operations candidates frame their experience and aspirations. The role is designed to push candidates to develop a more strategic and operational perspective on design, with clear pathways for growth into broader leadership and specialized operational functions.

💡 Interview Preparation

Strategy Questions:

  • "Describe a time you led a design team through a complex product optimization initiative. What was your process, what data did you use, and what were the measurable outcomes?"

  • "How do you balance strategic vision with the need for detailed design execution? Provide an example of how you've managed this tension."

  • "Discuss your approach to integrating AI into design workflows. What criteria do you use to evaluate its potential impact and feasibility?"

  • "How do you foster a culture of continuous improvement and data-driven decision-making within a design team?" Company & Culture Questions:

  • "BBVA is undergoing significant digital transformation. How would your design leadership contribute to this transformation, particularly in areas of product optimization and AI adoption?"

  • "How do you ensure design considerations are prioritized and integrated into broader business strategies and stakeholder decisions?"

  • "Describe your experience working in a hybrid environment. How do you maintain team cohesion and productivity across remote and in-office settings?" Portfolio Presentation Strategy:

  • Structure your presentation around your operational process: For each case study, clearly articulate the problem, your strategic approach, the specific design solutions, the methodologies used (research, data, experimentation, AI), the challenges faced, and the quantifiable results achieved.

  • Focus on the "Why" and the "How": Explain the rationale behind your decisions and the specific steps you took to implement them. Demonstrate your ability to translate insights into actionable plans.

  • Showcase your leadership and influence: Highlight instances where you mentored team members, collaborated with cross-functional partners, and influenced stakeholders to adopt your team's recommendations.

  • Be ready to discuss metrics: Prepare to talk about the KPIs you tracked, how you measured success, and the ROI of your design initiatives.

📝 Enhancement Note: The suggested interview questions are designed to probe for operational thinking, strategic leadership, and a data-driven mindset, which are crucial for success in this role. The portfolio presentation strategy emphasizes demonstrating process, impact, and leadership, aligning with the expectations for operations professionals.

📌 Application Steps

To apply for this operations position:

  • Submit your application through the provided link on the BBVA Workday careers portal.

  • Customize your resume: Tailor your resume to highlight specific experiences in product optimization, data-driven design, team leadership, and the application of AI. Use keywords from the job description, such as "product development," "optimization," "user-centered design," "data-driven decision-making," and "applied artificial intelligence."

  • Prepare your portfolio for impact: Select 2-3 key projects that best showcase your ability to lead design initiatives, drive product optimization, leverage data and research, and integrate new technologies. Focus on projects with measurable business outcomes and demonstrable process improvement.

  • Research BBVA's digital strategy: Understand their current focus areas, recent product launches, and their stated commitment to digital transformation and AI. This will help you tailor your answers and demonstrate cultural fit and strategic alignment.

  • Practice your portfolio presentation: Rehearse walking through your selected case studies, emphasizing your role, the challenges, the operational processes you followed, and the quantifiable results. Be prepared to answer questions about your decision-making process and leadership approach.

⚠️ 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.

Application Requirements

Requires at least 5 years of experience in UX and digital product design, including team leadership, design systems, user research, and AI-related processes or automation. A bachelor's degree in a relevant discipline is required; advanced study is preferred, along with B1-level English and knowledge of user-centered design, research, experimentation, management, and applied AI.