Sr. Manager / Associate Director - R&D Advanced Data & Digital Platforms

Director Of R&D Advanced Data & Digital Platforms Product Management

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a dynamic and technically accomplished Director of R&D Advanced Data & Digital Platforms Product Management to lead the product management function for digital, data, and analytics platforms supporting pharmaceutical R&D. This role is critical to building and scaling the foundational platform capabilities that enable advanced analytics, machine learning, and data science across the R&D organizationincluding preclinical, translational, and clinical research workflows.

Reporting to the Head of R&D Digital Platforms, this role will define and execute the platform strategy that supports cross-R&D solution delivery, ensuring alignment with scientific goals, regulatory requirements, and enterprise digital strategies. You will lead a team of product managers and analysts while collaborating closely with R&D, data science, and digital technology partners to deliver secure, scalable, and high-performance capabilities.

The ideal candidate will bring strong expertise in R&D technology enablement, platform product management, and agile software delivery, with the ability to adapt strategies to meet the unique needs of scientific workflows across discovery, preclinical, translational, and clinical domains, as well as stakeholder and regulatory environments.

Responsibilities :

• Leadership & Strategy
• Define and drive the vision, strategy, and roadmap for advanced digital and data platforms in R&D.
• Lead and grow a high-performing team of product managers and analysts.
• Foster a culture of innovation, agility, and customer-centricity.
• Partner with scientific, digital, and enterprise leaders to align product strategy with R&D and business priorities, including preclinical research requirements.
• Technical Product Management
• Own the end-to-end lifecycle of platform capabilitiesfrom ideation and design to delivery and continuous improvement.
• Ensure solutions are designed with a deep understanding of user needs, preclinical and clinical scientific workflows, developer requirements, and regulatory constraints.
• Champion agile product development practices and iterative delivery models.
• Establish and track KPIs to measure platform success, adoption, and impact.
• Collaboration & Stakeholder Engagement
• Act as primary liaison between solution delivery and platform teams to identify reusable capability opportunities.
• Collaborate with engineering, data science, and informatics teams to ensure timely and high-quality delivery across discovery and preclinical research use cases.
• Engage with external partners, vendors, and academic collaborators to accelerate innovation.
• Promote adoption of platform management best practices and share lessons learned across the organization.
• Governance & Compliance
• Ensure adherence to internal governance, data privacy, and regulatory standards.
• Promote responsible data and AI practices including transparency, fairness, and explainability.
• Support audit readiness and documentation for platform development processes.
• Team Leadership
• Build and mentor a team of product managers and analysts, fostering technical excellence and accountability.
• Guide career development through coaching, feedback, and structured growth opportunities.
• Promote cross-functional collaboration across science, data, and IT.
• Inspire the team to navigate evolving priorities, emerging technologies, and scientific complexity.
• Strategic Impact
• Contribute to the overall R&D digital platform strategy and roadmap.
• Evaluate and adopt emerging technologies to future-proof R&D capabilities.
• Optimize platforms for performance, cost-efficiency, and scalability across global R&D use cases, including preclinical studies and translational research.