Digital Product Strategy and Innovation Lead

📍 Job Overview

Job Title: Digital Product Strategy and Innovation Lead

Company: Amgen

Location: Lisbon, Portugal (Hybrid)

Job Type: Full-Time

Category: Digital Product Management / AI Product Management / Operations Leadership

Date Posted: May 27, 2026

Experience Level: Mid to Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Lead the establishment and operationalization of Amgen’s Portugal-based AI Digital Product Enablement team, a critical component of the AI&D Lab Product Management organization.

• Drive a "follow-the-sun" operating model to ensure continuous product delivery and seamless collaboration between US-based business stakeholders and global development teams, including those in India.

• Provide senior leadership and team-building expertise to foster a high-accountability, high-collaboration culture focused on quality, speed, and impactful AI solutions.

• Bridge the gap between business priorities and technical execution by translating complex business needs into actionable product requirements and delivery plans for AI initiatives.

• Enhance execution excellence and delivery velocity through the implementation of consistent product management and Agile practices, coupled with rigorous performance tracking and bottleneck identification.

📝 Enhancement Note: This role is positioned at the intersection of product management, technical leadership, and operational excellence within the burgeoning field of AI in biotech. The emphasis on a "follow-the-sun" model suggests a need for robust process definition, clear communication protocols, and strong cross-functional alignment to ensure global operational efficiency. The "Enablement Team" aspect points towards a focus on creating frameworks, standards, and support structures that empower other teams to deliver effectively.

📈 Primary Responsibilities

• Establish, build, and lead a high-performing Portugal-based team responsible for digital product ownership and cross-regional delivery enablement for AI initiatives.

• Define and implement the team’s operating model, scope, core processes, collaborative ways of working, and key success metrics.

• Act as the primary leadership bridge between US business teams and global delivery teams (e.g., India), ensuring work is clearly translated, prioritized, and handed off for continuous execution across time zones.

• Provide direct product ownership for AI and digital solutions within Agile delivery frameworks, including owning and overseeing product backlogs, prioritization, refinement, and readiness for engineering execution.

• Translate complex business requirements and objectives into clear, concise product user stories, engineering requirements, and actionable delivery plans.

• Collaborate closely with engineering, data science, and technical teams to align on scope, identify tradeoffs, and define optimal execution paths for AI solutions.

• Drive execution excellence and improve delivery velocity by implementing consistent product management and Agile best practices, tracking delivery performance, and identifying/resolving bottlenecks.

• Develop and monitor key product metrics, adoption measures, delivery KPIs, and relevant model-performance indicators to inform strategic decisions and continuous improvement efforts.

• Communicate clear, decision-ready updates to senior leadership on progress, risks, and outcomes related to AI product delivery and team performance.

📝 Enhancement Note: The responsibilities highlight a significant focus on operationalizing AI product development globally. This includes not only traditional product management tasks but also a strong emphasis on team leadership, process definition, cross-regional coordination, and performance management, all critical for a successful "follow-the-sun" operational model.

🎓 Skills & Qualifications

Education:

• Doctorate degree and 3 years of technology and/or product management experience

• Master’s degree and 5 years of technology and/or product management experience

• Bachelor’s degree and 7 years of technology and/or product management experience

• Associate degree and 9 years of technology and/or product management experience

Experience:

• 6+ years of product management (or related) experience, with a strong emphasis on digital products and technology.

• 4+ years of dedicated experience in AI/ML or data-driven product development.

• Proven experience in establishing and leading teams, fostering a collaborative and high-performance culture.

• Demonstrated ability to translate business needs into technical requirements and product roadmaps.

Required Skills:

• Product Management: Deep understanding of product lifecycle management, roadmapping, backlog prioritization, and user story creation.

• AI/ML Productization: Familiarity with AI concepts, machine learning lifecycle, and the challenges of productizing AI/ML solutions at scale.

• Agile Methodologies: Proficiency in Agile frameworks (Scrum, Kanban) and experience leading teams within these structures.

• Team Leadership & Development: Proven ability to build, mentor, and manage high-performing teams, fostering a culture of accountability and collaboration.

• Stakeholder Management: Excellent skills in managing relationships and communicating effectively with senior business stakeholders, technical teams, and cross-functional partners.

• Technical Translation: Ability to bridge the gap between business objectives and technical execution, articulating complex concepts clearly.

• Operational Rigor: Strong focus on process definition, operational efficiency, and continuous improvement in delivery mechanisms.

• Cross-functional Collaboration: Adept at working with diverse teams including engineering, data science, business units, and global counterparts.

Preferred Skills:

• AI Platforms & MLOps: Experience with AI platforms, MLOps practices, and enterprise AI architecture.

• Specific AI Technologies: Familiarity with advanced AI concepts such as Large Language Models (LLMs), Natural Language Processing (NLP), and agents.

• Biotech Workflows: Understanding of specific biotech industry processes (e.g., lab automation, computational biology, clinical data management).

• Data Analysis & Experimentation: Hands-on ability to analyze product usage, model output quality, and design/interpret A/B experiments.

• Presentation & Public Speaking: Strong executive-level communication and presentation skills.

• Global Operations: Experience working within or managing distributed, global teams and understanding the complexities of time zone differences.

📝 Enhancement Note: The educational requirements offer flexibility, allowing candidates with extensive experience to qualify even without a higher degree. The preferred qualifications strongly emphasize specialized AI/ML and MLOps experience, along with domain knowledge in biotech, which are critical for success in this role at Amgen. The "hands-on ability" for data analysis and experimentation suggests this is not purely a strategic role but requires some level of direct involvement in understanding product performance.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy & Roadmap Examples: Showcase documentation detailing how product strategies were developed, aligned with business objectives, and translated into actionable roadmaps. This should include examples of prioritization frameworks used.

• AI/ML Product Case Studies: Present detailed case studies of AI/ML products or features you have owned. Highlight the problem statement, the AI/ML approach, the development process (including team structure and collaboration), key challenges overcome, and quantifiable outcomes (e.g., improved efficiency, accuracy, adoption).

• Agile Process Implementation Documentation: Provide evidence of how you have implemented or improved Agile processes within product teams, including examples of backlog management, sprint planning, retrospectives, and outcome measurement.

• Cross-Regional Collaboration Frameworks: If possible, include examples or descriptions of frameworks or processes you've implemented to facilitate effective collaboration across different geographic locations and time zones.

• Metrics & KPI Dashboards: Demonstrate experience in defining, tracking, and reporting on product and delivery metrics. Portfolio items could include sample dashboards or reports illustrating performance against goals.

Process Documentation:

• Workflow Design & Optimization: Showcase examples of documented workflows for product development, particularly for AI initiatives, highlighting how you've optimized them for efficiency, clarity, and speed. This includes handoff points between teams.

• Requirements Definition & Management: Provide examples of how you define, refine, and manage product requirements, user stories, and acceptance criteria to ensure clarity and readiness for engineering execution.

• Performance Measurement & Reporting Frameworks: Illustrate your approach to measuring product and team performance, including the definition of KPIs and the development of reporting mechanisms for stakeholders.

📝 Enhancement Note: Given the role's emphasis on operationalizing AI product delivery and managing a "follow-the-sun" model, a portfolio demonstrating structured approaches to process definition, cross-team collaboration, and measurable outcomes will be crucial. Candidates should be prepared to articulate not just what they achieved, but how they structured processes and teams to achieve it, especially across different geographies.

💵 Compensation & Benefits

Salary Range:

For a leadership role of this nature in Lisbon, Portugal, with 5-10+ years of relevant experience in AI Product Management and Team Leadership, a competitive salary range can be estimated. Based on industry benchmarks for senior tech leadership roles in Western Europe, and considering Amgen's status as a major biotech firm, the estimated annual gross salary range would likely be between €70,000 and €110,000. This estimate accounts for the cost of living in Lisbon, the specialized skills required (AI/ML, product strategy, team leadership), and the seniority of the position.

Benefits:

• Comprehensive Health Insurance: Coverage for medical, dental, and vision care, likely including provisions for family members.

• Retirement Savings Plan: Company-sponsored pension or retirement savings scheme with potential employer matching contributions.

• Paid Time Off: Generous annual leave, public holidays, and sick leave policies.

• Professional Development: Opportunities for ongoing training, certifications, conference attendance, and access to learning resources.

• Performance Bonuses: Potential for annual performance-based bonuses tied to individual and company achievements.

• Relocation Assistance: For candidates relocating to Portugal, Amgen may offer relocation support.

• Employee Assistance Program (EAP): Confidential support services for personal and work-related challenges.

Working Hours:

The standard working hours are typically 40 hours per week. However, the role's leadership nature and the "follow-the-sun" operating model may necessitate flexibility, with potential for occasional work outside standard hours to accommodate global team needs, critical project deadlines, or executive-level reporting and meetings.

📝 Enhancement Note: Salary figures are estimates based on industry data for similar roles in Lisbon, Portugal, and Amgen's position as a leading pharmaceutical company. Actual compensation will be determined by the candidate's specific experience, qualifications, and negotiation. The benefits listed are standard for large multinational corporations and are assumed to be offered by Amgen. The hybrid work arrangement suggests a balance between in-office collaboration and remote flexibility.

🎯 Team & Company Context

🏢 Company Culture

Industry: Biotechnology / Pharmaceuticals. Amgen operates at the forefront of the biotechnology industry, focusing on discovering, developing, manufacturing, and delivering innovative human therapeutics. This sector is characterized by rigorous scientific research, extensive regulatory oversight, and a strong patient-centric mission.

Company Size: Large Enterprise (typically 20,000+ employees globally). Amgen is a significant player in the global pharmaceutical market, indicating a well-established infrastructure, diverse business units, and a structured corporate environment.

Founded: 1980. Amgen has a long history of innovation, pioneering the field of biotechnology and establishing itself as a leader in the fight against serious diseases. This longevity suggests a stable company with a proven track record and a deep understanding of the biotech landscape.

Team Structure:

• AI&D Lab Product Management Organization: This role sits within a specialized product management group focused on Artificial Intelligence and Digital innovations.

• Portugal-Based Enablement Team: The candidate will establish and lead this new team, which will act as a crucial operational and product bridge.

• Reporting Structure: The role reports to the Executive Director, AI&D Lab Product Management, indicating a senior position within the product leadership hierarchy.

• Cross-functional Collaboration: Extensive collaboration is expected with US-based business stakeholders, global development teams (including India), engineering, data science, and potentially other functional areas like R&D, manufacturing, and commercial operations.

Methodology:

• Data-Driven Decision Making: The role emphasizes using data, stakeholder feedback, and operational insights to inform prioritization and continuous improvement, aligning with a scientific and analytical approach.

• Agile Product Development: The team will operate within Agile delivery models, requiring iterative development, continuous feedback, and adaptability.

• Follow-the-Sun Operational Model: A core methodology for this role is enabling continuous work progression across different time zones, demanding robust process definition, clear handoffs, and proactive issue resolution.

• Process Optimization: A key function will be to identify bottlenecks and implement scalable mechanisms and operating rhythms to improve speed, transparency, and predictability in product delivery.

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

📝 Enhancement Note: Amgen's culture is described as collaborative, innovative, and science-based, which aligns well with the demands of an AI product leadership role. The "mission of serving patients" is a strong unifying theme. The "follow-the-sun" model implies a need for highly structured processes and strong communication protocols to overcome geographical and temporal barriers.

📈 Career & Growth Analysis

Operations Career Level: This is a senior leadership role, likely equivalent to a Director or Senior Manager level within a product or technology organization. It involves establishing a new team and function, requiring significant strategic thinking, operational planning, and people management skills. The scope includes global coordination and direct impact on product delivery velocity and quality.

Reporting Structure: The role reports directly to an Executive Director, indicating a high level of visibility and strategic importance. This also suggests opportunities for mentorship and guidance from senior leadership. The leader will be responsible for building and managing a team of product owners and enablement specialists.

Operations Impact: The "Digital Product Strategy and Innovation Lead" will have a direct and significant impact on Amgen's ability to leverage AI for drug discovery, development, and patient engagement. By ensuring efficient and high-quality delivery of AI products globally, this role will accelerate innovation, improve operational efficiency across therapeutic areas, and ultimately contribute to Amgen's mission of serving patients. The success of the "follow-the-sun" model will directly influence the speed at which new AI-driven solutions reach the market.

Growth Opportunities:

• Leadership Expansion: Potential to grow the Portugal-based enablement team, expanding its scope or leading additional product domains as Amgen's AI initiatives mature.

• Strategic Product Ownership: Opportunity to take on ownership of more complex or strategic AI product portfolios, influencing Amgen's long-term digital and AI strategy.

• Cross-Functional Leadership: Development of broader leadership skills through engagement with various business units and global functions within Amgen.

• Industry Expertise: Deepening expertise in AI/ML, MLOps, and the application of these technologies within the pharmaceutical and biotech sectors, positioning as a thought leader.

• Mentorship & Development: Opportunity to mentor and develop emerging product management talent within the AI/ML space.

📝 Enhancement Note: This role offers a unique opportunity to build and shape a critical function from the ground up within a leading biotech company. The growth potential is tied to both scaling the team and expanding the strategic influence of AI product management across Amgen's global operations.

🌐 Work Environment

Office Type: Hybrid. The role is based in Lisbon, Portugal, with a hybrid work arrangement. This implies a balance between working remotely and spending time in a physical Amgen office for collaboration, team meetings, and strategic sessions.

Office Location(s): Lisbon, Portugal. Amgen has a presence in Portugal, with this role specifically located in Lisbon. Details about the specific office facilities would be available upon inquiry or during the interview process.

Workspace Context:

• Collaborative Environment: The hybrid model and the emphasis on cross-functional collaboration suggest an office environment designed to facilitate team interaction, brainstorming, and knowledge sharing.

• Technology & Tools: As an Information Systems role within a biotech leader, expect access to modern technology infrastructure, collaboration tools, and potentially specialized AI/ML development environments.

• Team Interaction: Opportunities for direct interaction with the newly formed Portugal-based enablement team, as well as virtual collaboration with US and India-based teams. This will involve regular virtual meetings, stand-ups, and planning sessions.

Work Schedule: The standard 40-hour work week applies, but the nature of leading a global, "follow-the-sun" operation may require flexibility to attend meetings or address urgent issues outside of core hours. This is common in roles managing distributed international teams.

📝 Enhancement Note: The hybrid nature of the role in Lisbon offers a blend of work flexibility and in-person collaboration, crucial for team building and strategic alignment. The operational context of managing global teams implies a need for excellent virtual collaboration skills and tools.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review applications and conduct an initial phone screen to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deeper dive into your experience, leadership style, and understanding of AI product management and operational enablement. Expect questions related to building teams and implementing processes.

• Technical/Product Assessment: This could involve a case study, a product challenge, or a deep-dive discussion on your experience with AI/ML products, Agile methodologies, and stakeholder management. You may be asked to present on a past project.

• Team/Peer Interviews: Interviews with potential team members or cross-functional partners (e.g., engineering leads, data scientists, US business stakeholders) to assess collaboration, communication, and leadership potential.

• Executive Interview: A final interview with the Executive Director or other senior leaders to confirm strategic alignment, leadership capabilities, and overall fit for Amgen.

Portfolio Review Tips:

• Highlight Process & Structure: Clearly demonstrate your ability to define, document, and implement operational processes, especially for new teams or cross-regional efforts. Focus on how you create structure and reduce ambiguity.

• Quantify Impact: For each case study, emphasize the measurable outcomes and business impact of your work. Use metrics related to delivery velocity, efficiency gains, adoption rates, or business value unlocked by AI solutions.

• Showcase Leadership: Include examples of team building, mentoring, and fostering a collaborative culture. Explain how you empower teams and drive accountability.

• Address Global Collaboration: If possible, use examples that illustrate your experience managing or collaborating with distributed international teams, highlighting strategies for overcoming time zone and cultural differences.

• AI/ML Specifics: For AI/ML projects, detail the technical challenges, the data aspects, and how you translated business needs into functional product requirements for complex AI solutions.

Challenge Preparation:

• Operational Model Design: Be prepared to discuss how you would approach designing the operating model for the Portugal enablement team, including defining roles, responsibilities, key processes, and success metrics for a "follow-the-sun" model.

• Stakeholder Alignment: Practice articulating how you would align disparate stakeholder groups (US business, global development, engineering, data science) on priorities, scope, and trade-offs for AI initiatives.

• Process Bottleneck Identification: Think about common bottlenecks in global product delivery and how you would proactively identify and address them using data and operational rhythms.

• Team Building Strategy: Prepare to discuss your philosophy and practical approaches to building a high-performing, collaborative team in a new location.

📝 Enhancement Note: The interview process is likely to be thorough, assessing both strategic product leadership and operational execution capabilities. A strong portfolio that showcases structured process thinking, team leadership, and quantifiable results from AI/ML initiatives will be critical for success. The emphasis on a "follow-the-sun" model means that demonstrating experience in global coordination and process standardization is highly advantageous.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Jira, Confluence, Asana, Monday.com, or similar for backlog management, sprint planning, documentation, and workflow tracking.

• AI/ML Development & Operations Platforms: Depending on Amgen's stack, this could include platforms for model training, deployment, monitoring, and MLOps (e.g., AWS SageMaker, Azure ML, Google AI Platform, Databricks, MLflow).

• Collaboration & Communication Tools: Microsoft Teams, Slack, Zoom, Google Workspace for daily communication, virtual meetings, and team coordination across geographies.

• Data Analysis & Visualization Tools: Tableau, Power BI, Looker, or custom internal tools for analyzing product usage, model performance, and defining KPIs.

Analytics & Reporting:

• Product Analytics: Tools for tracking user behavior, feature adoption, and engagement within digital products.

• Model Performance Monitoring: Systems to track the accuracy, drift, and operational health of deployed AI/ML models.

• Business Intelligence (BI) Tools: For creating dashboards and reports that communicate progress, risks, and outcomes to executive leadership and stakeholders.

CRM & Automation:

• CRM Systems: Salesforce or similar, which may be integrated with product usage data to understand customer impact.

• Workflow Automation Tools: Potentially used for automating certain product development processes or operational tasks.

• Integration Platforms: Tools like MuleSoft or custom APIs may be in use to connect various systems and enable data flow between global teams and platforms.

📝 Enhancement Note: While specific tools aren't listed, the role's nature implies a need for proficiency in standard product management tools, a solid understanding of AI/ML platforms and MLOps concepts, and strong data analysis capabilities. Experience with tools that facilitate global collaboration and asynchronous work will be highly beneficial.

👥 Team Culture & Values

Operations Values:

• Patient Centricity: A core value at Amgen, meaning all operational and product decisions should ultimately serve the mission of helping patients by providing innovative medicines.

• Integrity: Upholding the highest ethical standards in research, development, and business practices.

• Collaboration: Fostering an environment where diverse teams work together seamlessly, sharing knowledge and expertise to achieve common goals.

• Innovation: Encouraging creative thinking, exploration of new technologies (like AI), and a willingness to challenge the status quo to drive progress.

• Excellence: A commitment to high quality, rigorous scientific standards, and continuous improvement in all aspects of work.

• Accountability: Taking ownership of responsibilities, driving results, and being transparent about progress and outcomes.

Collaboration Style:

• Cross-functional Integration: The role requires deep integration with business units, R&D, engineering, and data science teams, necessitating a collaborative approach that prioritizes shared understanding and aligned objectives.

• Process-Oriented Feedback: A culture that encourages constructive feedback on processes, workflows, and product delivery to drive continuous improvement.

• Knowledge Sharing: Emphasis on documenting best practices, sharing learnings across teams and geographies, and fostering an environment where knowledge is a collective asset.

• Proactive Communication: Given the global nature of the team, a proactive and transparent communication style is essential to keep all stakeholders informed and aligned, especially across different time zones.

📝 Enhancement Note: The team culture will likely be a blend of Amgen's established corporate values and the specific needs of an innovative AI product team operating globally. Expect a professional yet dynamic environment where scientific rigor meets agile execution.

⚡ Challenges & Growth Opportunities

Challenges:

• Establishing a New Team & Function: Building a high-performing team and defining its operational model from scratch in a new geographic location presents inherent challenges in recruitment, onboarding, and establishing identity.

• "Follow-the-Sun" Operational Complexity: Ensuring seamless handoffs, consistent quality, and continuous momentum across vastly different time zones and cultures requires meticulous process design and robust communication strategies.

• Bridging Business & Technical Divides: Translating complex scientific and business needs into actionable AI product requirements and ensuring alignment between diverse stakeholder groups can be challenging.

• Pace of AI Innovation: Keeping pace with the rapidly evolving AI/ML landscape and integrating new advancements into Amgen's product strategy and delivery requires continuous learning and adaptability.

• Measuring AI Impact: Quantifying the precise impact of AI solutions on drug discovery, development, or patient outcomes requires sophisticated measurement frameworks and data analysis capabilities.

Learning & Development Opportunities:

• AI/ML Strategy & Product Leadership: Deepen expertise in defining and executing AI product strategies within a regulated industry like biotech.

• Global Team Management: Develop advanced skills in leading and managing distributed international teams, focusing on cross-cultural communication and operational efficiency.

• Biotech Domain Expertise: Gain in-depth knowledge of Amgen's specific therapeutic areas, research processes, and how AI can drive innovation within them.

• Industry Conferences & Certifications: Opportunities to attend leading AI, product management, or biotech industry events, and pursue relevant certifications.

• Mentorship: Potential to be mentored by senior leaders within Amgen's product and technology organizations, and to mentor emerging talent.

📝 Enhancement Note: The role offers significant opportunities for professional growth by tackling complex operational and strategic challenges in a cutting-edge field. The ability to navigate ambiguity and build solutions will be key to overcoming challenges and capitalizing on growth opportunities.

💡 Interview Preparation

Strategy Questions:

• "Describe your approach to establishing and leading a new team in a new region, specifically focusing on hiring, onboarding, and fostering a strong team culture."

• "How would you design an operating model for a 'follow-the-sun' product delivery team to ensure seamless handoffs and continuous momentum across global time zones?"

• "Walk me through your process for translating complex business or scientific requirements into actionable product user stories and technical specifications for AI/ML solutions."

• "What metrics would you propose for measuring the success of an AI Digital Product Enablement team, and how would you track and report on them to executive leadership?"

Company & Culture Questions:

• "What interests you about Amgen's mission and its role in the biotechnology industry?"

• "How do you approach fostering a collaborative and innovative culture within a team, particularly one that is geographically distributed?"

• "Describe a time you had to influence stakeholders at a senior level to gain buy-in for a new product strategy or operational change."

Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly articulate the problem, your role and strategy, the quantifiable results, and the lessons learned. Focus on how your actions drove specific outcomes.

• Highlight Process & Operations: Emphasize the processes you designed or improved, especially those related to cross-functional collaboration, agile execution, and global coordination.

• Showcase Leadership: Clearly articulate your leadership contributions, including team building, mentoring, and how you empowered others.

• Quantify Impact: Use data and metrics to demonstrate the success of your projects. For AI/ML projects, be ready to discuss model performance, adoption rates, and business value.

• Tailor to Amgen: Research Amgen's therapeutic areas and recent innovations to draw parallels and demonstrate how your experience is relevant to their specific challenges and goals.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong blend of strategic product thinking, operational excellence, and leadership acumen. Candidates should be prepared to discuss concrete examples of how they have built teams, implemented processes, and driven results, particularly in complex, global environments.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Amgen Careers portal via the provided link.

• Tailor Your Resume: Customize your resume to highlight experience in AI/ML product management, team leadership, operational process definition, and cross-regional collaboration. Use keywords from the job description such as "AI," "MLOps," "Agile," "Product Ownership," and "Follow-the-Sun."

• Prepare Your Portfolio: Curate a selection of your strongest work that showcases your product strategy, AI/ML project ownership, process improvement initiatives, and team leadership. Be ready to discuss specific examples and quantifiable outcomes.

• Research Amgen: Familiarize yourself with Amgen's mission, therapeutic areas, recent innovations, and company culture. Understand their commitment to serving patients and their strategic use of technology and AI.

• Practice Interview Responses: Prepare detailed answers to common interview questions, focusing on the STAR method (Situation, Task, Action, Result) and be ready to articulate your approach to the specific challenges presented in this role, such as building a new team and enabling global operations.

⚠️ 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.