Director, Data Enablement, Reporting
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Job Description
Otsuka pharmaceutical data leader enabling AI-ready R&D governance and clinical trial reporting. Driving governed data products, analytics, and Gen AI adoption across R&D.
Responsibilities:
- Define, execute, and oversee data enablement and reporting analytics across the R&D organization
- Drive R&D data strategy to enable a data-centric culture and ensure data is AI-ready according to FAIR principles
- Implement programs supporting data use initiatives and information governance policies
- Lead enablement of AI readiness for R&D data, data quality, clinical trial reporting, and analytics
- Provide advanced reporting through Gen AI solutions and support development of Gen BI solutions
- Partner with R&D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement/Governance, and IT stakeholders
- Develop and operationalize the R&D data strategy roadmap and data governance framework
- Oversee metadata management, semantic annotation, data cataloging, and data lineage tracking
- Establish data quality standards, KPIs, and remediation initiatives
- Translate stakeholder processes and AI needs into a prioritized AI portfolio
- Develop operational AI use cases across analytics, traditional AI/ML, and Gen AI
- Deliver governed data products and analytical reporting supporting strategic insights and operational efficiency
- Collaborate on scalable data models, data lakes, and visualization tools for self-service analytics
- Establish and monitor SLAs and usage metrics for data products and reporting dashboards
- Communicate governance priorities, reporting metrics, and value realization to executives and stakeholders
- Translate R&D requirements into data and governance initiatives
- Identify AI opportunities to automate reporting analytics and governance workflows
- Lead, mentor, and develop a high-performing data and reporting team
- Drive data and AI awareness, ownership, and stewardship across R&D
- Lead 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 of 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
- Knowledge of data standards such as CDISC and regulatory compliance
- Experience collaborating with data science and AI teams
- Familiarity with the modern data stack, including cloud platforms, data lakes, and data catalogs
- Familiarity with modern DSPM and Data Governance solutions
- Excellent leadership, communication, and change management skills
- Ability to influence senior stakeholders across a complex, matrixed organization
- Excellent stakeholder management skills
- Ability to convey complex technical concepts to non-technical audiences
Benefits:
- Comprehensive medical, dental, vision, and prescription drug coverage
- Company-provided basic life insurance
- Accidental death and dismemberment insurance
- Short-term and long-term disability insurance
- Tuition reimbursement
- Student loan assistance
- Generous 401(k) match
- Flexible time off
- Paid holidays
- Paid leave programs
- Other company-provided benefits
- Incentive opportunity
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