Director, Data Enablement, Reporting

Otsuka Pharmaceutical Companies (U.S.)

. Define, execute, and oversee data enablement and reporting analytics across the R&D organization .

Posted 10/26/2026full-timeRemote • New Jersey • United StatesLead💰 $186,489 - $278,875 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, analytics, and AI readiness within R&D, with a strong focus on implementing data strategies and delivering governed data products. Proven ability to lead teams, influence stakeholders, and operationalize data initiatives in a regulated environment.

Highest-signal resume keywords

Data Governance FrameworksAI Readiness for R&D DataClinical Trial ReportingStakeholder ManagementData Quality Standards

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManagementData AnalyticsData Strategy DevelopmentMetadata ManagementStatistical ProgrammingGen AI SolutionsData CatalogingData Lineage TrackingRegulatory ComplianceData Standards (CDISC)

Soft Skills

LeadershipCommunicationChange ManagementInfluencing SkillsStakeholder Engagement

Tools & Technologies

Cloud PlatformsData LakesData CatalogsModern DSPM SolutionsGen BI Solutions

Industry Keywords

Pharmaceutical IndustryBiotech IndustryLife SciencesR&D DataClinical Trials

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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