Senior Director, Product Management (Data & Artificial Intelligence)

The Senior Director, Product Management (Data & AI) is responsible for defining, driving, and delivering Fortrea's enterprise Data & AI product strategy, product portfolio, and multi-year product roadmap. This role serves as the senior product leader for Data & AI, accountable for ensuring that enterprise data products, analytics products, AI solutions, and emerging digital capabilities align with Fortrea's strategic objectives and long-term technology vision. The position owns the end-to-end product lifecycle, including product vision, roadmap development, investment prioritization, delivery oversight, adoption, value realization, and continuous improvement.

The Senior Director, Product Management will lead a team of Product Managers and work closely with Engineering, Data, AI, Enterprise Architecture, Business Stakeholders, Program Management, Security, and Operations teams to ensure products are delivered successfully and produce measurable business outcomes. As a member of the Data & AI leadership team, this role is accountable for translating Fortrea's three-year Data & AI strategy into an executable and measurable product portfolio that delivers enterprise value, operational efficiency, innovation, and competitive advantage.

Summary of Responsibilities:

Product Strategy & Vision

• Develop and maintain the enterprise Data & AI product strategy aligned to Fortrea's business objectives and three-year technology roadmap.
• Establish a clear product vision for enterprise data, analytics, artificial intelligence, automation, and emerging digital capabilities.
• Define and maintain multi-year product roadmaps that balance business priorities, technical investments, innovation opportunities, and organizational capacity.
• Partner with executive stakeholders to identify future product opportunities and strategic business needs.
• Translate enterprise strategy into actionable product objectives, priorities, and measurable outcomes.
• Drive product innovation and identify opportunities to maximize the value of enterprise data and AI investments.

Data & AI Product Portfolio Leadership

• Own the enterprise Data & AI product portfolio, including product lifecycle management, prioritization, governance, and performance management.
• Establish portfolio management processes supporting product intake, evaluation, funding, prioritization, and roadmap planning.
• Ensure alignment and integration across data, analytics, AI, reporting, governance, and platform-related products.
• Balance short-term business needs with long-term strategic product investments.
• Define product success metrics and value realization frameworks across the portfolio.
• Continuously evaluate portfolio performance and optimize investment decisions based on business outcomes and strategic priorities.

Product Delivery & Execution

• Own successful delivery of enterprise data and AI products from concept through deployment and ongoing enhancement.
• Partner with Engineering, Architecture, Data, and Program Management leaders to ensure successful delivery of product roadmaps.
• Drive prioritization of product backlogs and delivery plans to maximize business value.
• Remove obstacles impacting product execution and serve as an escalation point for strategic product issues.
• Ensure products are delivered within approved scope, timelines, budget, and quality expectations.
• Oversee adoption, usage, performance, and ongoing evolution of deployed products.
• Establish product governance and operating models supporting sustainable delivery and continuous improvement.

Business Partnership & Value Realization

• Serve as the primary liaison between business stakeholders and Data & AI delivery teams.
• Establish strong relationships with functional leaders to understand business objectives, challenges, and opportunities.
• Ensure product investments align with measurable business outcomes and enterprise priorities.
• Develop business cases supporting product investments and strategic initiatives.
• Lead value realization reviews to demonstrate business impact and return on investment.
• Drive customer-centric and business-driven product development practices.

People Leadership

• Build, lead, and develop a high-performing team of Product Managers, Product Owners, and product leadership professionals.
• Establish the product management operating model and organizational structure for the Data & AI organization.
• Provide coaching, mentoring, performance management, and career development opportunities for team members.
• Drive talent acquisition, succession planning, workforce planning, and organizational capability development.
• Foster a culture of ownership, innovation, accountability, customer focus, and continuous improvement.
• Develop product management capabilities and best practices across the broader Data & AI organization.

Financial & Investment Management

• Develop and manage Data & AI product investment plans and strategic funding priorities.
• Partner with Finance and Technology leadership on annual budget planning and investment governance.
• Evaluate product investment opportunities and prioritize initiatives based on business value, risk, cost, and strategic alignment.
• Support build-versus-buy decisions and product investment recommendations.
• Monitor product portfolio investment performance and value realization.
• Ensure effective stewardship of product-related technology investments.

Stakeholder & Executive Leadership

• Serve as a trusted advisor to executive leadership regarding Data & AI product strategy, performance, and future investments.
• Prepare and deliver executive-level product roadmaps, business reviews, investment recommendations, and performance updates.
• Lead product governance forums, roadmap reviews, and strategic planning sessions.
• Communicate product strategy and business value across technical and non-technical stakeholder groups.
• Partner with Enterprise Architecture, Security, Compliance, Program Management, and Technology leaders to ensure alignment across all product initiatives.

Qualifications (Minimum Required):

• Bachelor's degree in Business Administration, Computer Science, Information Technology, Engineering, Data Analytics, or related field.
• Fortrea may consider relevant and equivalent experience and successful project outcomes in lieu of educational requirements.

Experience (Minimum Required):

• 12+ years of progressive leadership experience in Product Management, Technology Leadership, Data & Analytics, Digital Products, or related disciplines.
• 7+ years of experience leading enterprise product portfolios, product organizations, or large-scale digital transformation initiatives.
• Demonstrated success developing and delivering multi-year product strategies and roadmaps.
• Experience managing enterprise technology, data, analytics, or AI-related products.
• Proven people leadership experience, including hiring, mentoring, developing, and leading Product Managers.
• Experience managing investment portfolios, business cases, budgeting, and strategic planning activities.
• Exceptional executive communication, stakeholder management, and influencing skills.

Preferred Qualifications Include:

• Master's Degree in Business Administration, Technology Management, Data Analytics, Artificial Intelligence, or related discipline.
• Experience leading Data, Analytics, AI, Machine Learning, Digital, or Platform Product organizations.
• Familiarity with Azure, Microsoft Fabric, Power Platform, AI platforms, and enterprise analytics environments.
• Experience operating within life sciences, healthcare, CRO, or other regulated industries.
• Product Management certifications or Agile Product Management experience preferred.

Physical Demands / Work Environment:

Office/Home-Based:

Work Environment:

• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional drives to site locations with occasional travel both domestic and international.

Physical Requirements:

• Frequently stationary for 6-8 hours per day.
• Repetitive hand movement of both hands with the ability to make fast, simple, repeated movements of the fingers, hands, and wrists.
• Occasional crouching, stooping, with frequent bending and twisting of upper body and neck.
• Ability to access and use a variety of computer software developed both in-house and off-the-shelf.
• Light to moderate lifting and carrying, or moving of objects, including luggage and laptop computer with a maximum lift of 15-20 lbs.
• Regular and consistent attendance.
• Varied hours may be required.

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Originally posted on Himalayas