Description
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.
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.