Director, Data Enablement and Reporting

Otsuka Pharmaceutical Co., Ltd.•Princeton, NJ

10d•$186,489 - $278,875

About The Position

The Director of Data Enablement and Reporting is a strategic leader in DnA responsible for defining, executing, and overseeing data enablement and reporting analytics across the R&D organization. The role leads technical implementation of data-related programs and supports information governance policies, driving an R&D data strategy that builds a data-centric culture and makes data AI-ready in accordance with FAIR principles. The Director works with AI, data science, engineering, and business teams to realize the value of R&D data while meeting data compliance needs. The role leads AI readiness, data quality, clinical trial reporting and analytics, and advanced reporting through Gen AI solutions, working with technical teams on Gen BI solutions. The Director partners with stakeholders across R&D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement or Governance, and IT to leverage foundational capabilities and identify data enablement and reporting needs. The position develops and operationalizes R&D data governance, quality, and AI-readiness capabilities; delivers governed data products and analytical reporting; supports AI and data science initiatives; and leads a team of data and reporting professionals. The role also drives data ownership and stewardship across R&D and leads analytics and reporting for Clinical Trial operations.

Requirements

Master’s or Ph.D. in a quantitative discipline such as Data Science, Bioinformatics, Statistics, Computer Science, or a related field.
8–10+ years of experience in data management, data governance, stakeholder management, or a related role within the pharmaceutical, biotech, or life sciences industry.
Proven track record defining, implementing, and operationalizing data governance frameworks and delivering strategic reporting in a regulated GxP environment.
Deep understanding of R&D data and information domains, including clinical trials, drug development, external real-world data, genomics, and digital/device and sensor data; data standards such as CDISC; and regulatory compliance.
Experience collaborating with data science and AI teams and strong familiarity with the modern data stack, including cloud platforms, data lakes, and data catalogs.
Excellent leadership, communication, and change management skills, including the ability to influence senior stakeholders across a complex, matrixed organization.
Ability to convey complex technical concepts to non-technical audiences and strong stakeholder management skills.

Nice To Haves

Familiarity with modern DSPM and data governance solutions.

Responsibilities

Develop, champion, and execute the R&D data strategy roadmap, aligned with enterprise standards and regulatory requirements such as GxP, HIPAA, and GDPR.
Design and operationalize a fit-for-purpose data governance framework, including policies, standards, data ownership models, and stewardship across R&D functions.
Oversee implementation and maintenance of data governance and AI-readiness capabilities, including metadata management, semantic annotations, data cataloging, and data lineage tracking.
Establish data quality standards and KPIs, lead remediation initiatives, and provide metrics on data readiness for AI and data science solutions.
Work with stakeholders to understand processes and AI needs and prioritize the AI portfolio within the area of responsibility.
Collaborate with Ethics and Compliance, Data Privacy, Information Security, IT, and R&D functions to develop and deliver a data strategy aligned with Otsuka’s priorities for leveraging and protecting data assets.
Apply knowledge of R&D data to develop pragmatic operational AI use cases, including analytics, traditional AI/ML, and Gen AI.
Partner with R&D business owners and leadership to identify and deliver governed data products and analytical reporting that support strategic insights and operational efficiency.
Collaborate with Data Science and AI Engineering teams to build scalable data models, data lakes, and visualization tools for self-service analytics and advanced data applications.
Establish and monitor SLAs and usage metrics for data products and reporting dashboards, continually improving their value and adoption.
Communicate data governance priorities, reporting metrics, and value realization to executive leadership and business stakeholders.
Translate functional R&D requirements into actionable data and governance initiatives as a business liaison for AI and Data Science teams.
Collaborate with AI/ML teams to ensure data is trusted, compliant, and ready for advanced analytics and AI applications.
Identify and evaluate opportunities to use AI to automate reporting analytics and governance workflows, such as metadata tagging and data quality checks.
Collaborate on enterprise-wide data and information initiatives to advance Otsuka’s data, AI, reporting analytics, information utilization, and governance goals.
Lead, mentor, and develop a high-performing team of data and reporting professionals, fostering ethical governance and continuous learning.
Drive data and AI awareness and culture change across R&D, embedding data ownership and stewardship into business processes and treating data as a shared corporate asset.
Lead analytics and reporting for Clinical Trial operations.