Director, Data Product Coordination Lead (Data & Technology
Listed on 2026-08-02
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IT/Tech
Change Management, IT Project Manager, Data Science Manager
About Parexel
Parexel is a leading global clinical development partner delivering insights-driven clinical and consulting solutions to the life sciences industry. With 22,000+ employees worldwide, we partner with biopharmaceutical companies and research sites to design and deliver patient-focused clinical trials that broaden access and make research a care option for anyone, anywhere.
We work with focus, agility, and shared purpose -- moving with urgency to address patient needs and accelerate the delivery of new therapies. We embrace bold thinking, adapt quickly to change, and continually raise the bar for the speed and quality of clinical research. We are expanding our team and seeking talented individuals to help drive industry-leading innovation, With Heart(R).
About the Role
We are seeking a Director, Data Product Coordination Lead (Data & Technology) , to join our team in a remote capacity. In this role, you will orchestrate enterprise data initiatives and drive alignment across our global data ecosystem. This senior leadership role sits at the center of our data operations, ensuring seamless coordination of data products across business domains and enabling our teams to deliver transformative insights that accelerate clinical research and advance patient care.
You will provide strategic direction and operational leadership for the Data Product Coordination function, overseeing a team of domain-aligned coordinators and driving execution across Data Ingestion, Data Engineering, and Data Distribution. In this highly matrixed environment, you'll influence multiple teams without direct authority, establish governance frameworks, and ensure transparent, consistent delivery across the enterprise. Your leadership will establish clear accountability, resolve dependencies, and maintain visibility into portfolio health while building a high-performance culture focused on execution and cross-functional collaboration.
You’ll join a fast-paced, growth-oriented environment where your strategic vision will shape how we deliver data-driven solutions across clinical, corporate, and commercial domains. With opportunities to develop your team's capabilities and influence enterprise-wide data strategy, this role offers significant impact on clinical research outcomes and organizational transformation.
Key Responsibilities
- Coordinate and align data products across business domains, ensuring consistency in priorities, ownership, and delivery expectations while establishing clear accountability
- Serve as the primary coordination point between business stakeholders and data delivery teams, driving execution across a matrixed organization and influencing teams to deliver shared outcomes
- Lead intake, prioritization, and demand management of data initiatives, aligning organizational priorities with capacity and maintaining visibility into dependencies and risks
- Orchestrate end-to-end delivery across Data Ingestion, Data Engineering, and Data Distribution functions, resolving dependencies and ensuring consistent execution
- Establish communication frameworks, governance structures, and reporting mechanisms that provide transparency into portfolio health and delivery metrics
- Lead the Data Product Coordination function, establishing processes, operating model standards, and performance management discipline across matrixed teams
- Build and develop a team of Data Product Coordinators aligned to specific business domains (Clinical, Corporate, Commercial), ensuring they develop deep domain expertise and act as primary alignment points between business and technical teams
- Coach and develop talent, establishing clear roles, accountability, and performance expectations while building strong domain, delivery, and stakeholder management capabilities
Candidate Profile
You’ll thrive in this role if you bring:
- Strategic leadership capabilities with a proven track record of driving organizational transformation, operational excellence, and continuous improvement in complex, global environments
- Deep expertise in data operations, analytics platforms, and enterprise data ecosystems, with strong understanding of data governance, quality frameworks,…
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