Director, Portfolio Data Products

Key Responsibilities

Strategic Leadership

• Define and own the portfolio data product strategy, enabling high-quality, harmonized, and accessible data to support strategic decision-making in R&D.
• Partner with stakeholders to align product vision to business priorities and regulatory requirements.
• Ensure the roadmap is scalable and flexible to meet global and therapeutic-area specific needs.
• Lead quarterly and annual planning, prioritizing initiatives based on impact, resource capacity, and scientific value.
• Bridge the gap between scientists and product teams to ensure that outcomes are aligned to business needs and value.
• Gather and prioritize requirements from scientists, technical stakeholders, and cross-functional teams to define the “What” and “Why” of product development.

Product Portfolio Management

• Oversee a team of product owners accountable for a suite of interconnected portfolio data products (e.g., program hierarchy models, timeline data APIs, asset metadata stores, risk modeling tools).
• Oversee cross-product dependencies, ensuring interoperability, governance alignment, and compliance with data quality standards.
• Ensure all products follow best practices in FAIR data principles, CI/CD delivery, and audit-readiness.
• Build and manage a shared services model across product teams, including re-usable data assets, common pipeline components, and metadata catalogs.

Cross-Functional Collaboration

• Represent the clinical data product domain at key leadership forums and strategic decision-making bodies.
• Collaborate with Digital R&D platform leads, enterprise data governance teams, and AI/ML leaders to influence data infrastructure investments.
• Partner with R&D Portfolio Management, Strategy & Operations, and Finance teams to ensure portfolio data products meet real-world decision-making needs.

Team Development & Leadership

• Build and mentor a high-performing team of Product Owners, associate product managers, and data product analysts.
• Cultivate a culture of accountability, agility, innovation, and user-centered thinking.
• Define success metrics, performance reviews, and development plans for team members.
• Promote knowledge sharing, collaboration, and continuous learning across product domains.

Delivery Excellence

• Ensure timely and high-quality delivery of data products in alignment with sprint plans and release milestones.
• Champion agile product development and iterative delivery, balancing short-term execution with long-term product health.
• Drive measurement of impact through business KPIs, data usage metrics, and stakeholder satisfaction.
• Resolve escalated product or delivery risks, and coordinate mitigation strategies across internal and external teams.

Qualification & Requirements

Key Functional Requirements & Qualifications:

• Master’s degree or higher in life sciences, computer science, data science, or a related field. Ph.D. or MBA is a strong plus.
• 8+ years of experience in data product management, portfolio operations, or digital product development in life sciences.
• Strong familiarity with R&D portfolio management processes, systems (e.g., Planisware, enterprise resource planning), and use cases.
• Proven leadership experience influencing cross-functional teams and driving digital or data transformation in R&D.
• Ability to define product vision and strategy and translate that into team deliverables and stakeholder outcomes.
• Excellent communication and executive presentation skills, including the ability to represent the organization at internal and external forums.
• Proven track record of hiring, developing, and retaining top product talent.

Key Technical Requirements & Qualifications:

• Strong knowledge of Agile/Scrum methodologies, product portfolio management, and iterative product development.
• Understanding of metadata management, data catalogs, data lineage, and cloud-native data architecture (e.g., AWS, Snowflake, Databricks).
• Experience managing CI/CD pipelines and product releases for data infrastructure.
• Experience working with product tools like Jira, Confluence, Miro, and enterprise data platforms.
• A strong data-driven mindset, with the ability to balance innovation with compliance and operational excellence.
• Understanding of portfolio analytics, forecasting models, or program-level risk tracking is a strong asset.

Benefits

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team.
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs