Director, Data Enablement and Reporting

Director Of Data Enablement And Reporting

The Director of Data Enablement and Reporting is a strategic leader in DnA and will define, execute, and oversee the data enablement and reporting analytics across the R&D organization. This role is responsible for the technical implementation of programs related to the use of data in various initiatives on data and support information governance policies. The Director will drive R&D data strategy to enable a data-centric culture and ensure data is "AI-ready" by adhering to FAIR principles (Findable, Accessible, Interoperable, Reusable), and collaborate closely with AI, data science, engineering, and business teams to unlock the value of R&D data while also ensuring that all data related compliance needs are met. This role will leverage internal Data Science and AI team and DnA pillars to deliver reporting analytics and serve as the lead for enabling AI readiness of R&D data, its quality, clinical trial reporting and analytics. The role will also be responsible for providing advanced reporting through Gen AI solutions to stakeholders while relying on technical team to develop Gen BI solutions. The role will partner with various stakeholders in R&D, Biostatistics, Clinical Data Management, Statistical Programming, Real World Data Analytics, Data Enablement or Governance, IT to ensure that initiatives leverage foundational capabilities as well as inform of needs in data enablement and reporting.

Data Governance Strategy and Implementation

Develop, champion, and execute the R&D data strategy roadmap, ensuring alignment with enterprise standards and regulatory requirements (e.g., GxP, HIPAA, GDPR). Design and operationalize a fit-for-purpose data governance framework, including policies, standards, data ownership models, and stewardship across R&D functions (e.g., Clinical Operations, Research, Regulatory, Safety). Oversee the implementation and maintenance of key data governance as well as data capabilities towards AI readiness, including metadata management, semantic annotations for internal and external data, data cataloging, and data lineage tracking. Establish data quality standards, define quality metrics (KPIs), and lead remediation initiatives to ensure high data integrity, completeness, and accuracy. Provide metrics on the readiness of data for its use in AI and Data Science solutions. Collaborate with stakeholders to understand their processes, AI needs, and convert them to prioritized AI portfolio in the domain of responsibility Collaborate closely with Ethics and Compliance, Data Privacy, Information Security, IT and various R&D business functions to develop and deliver data strategy that is aligned to Otsuka priorities on leveraging and protecting data assets. Leverage deep understanding of variety of R&D data (Clinical trials, Textual data, Clinical data, safety, etc.) to develop pragmatic operational AI use cases; these may include analytics, traditional AI/ML, or Gen AI Analytic Reporting and Data Product Delivery Partner with R&D business owners and leadership to identify and deliver high-impact, 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 that enable self-service analytics and advanced data applications. Establish and monitor service level agreements (SLAs) and usage metrics for data products and reporting dashboards, continuously improving their value and adoption. Communicate data governance priorities, reporting metrics, and value realization to executive leadership and business stakeholders. AI and Data Science Collaboration Act as a business liaison for AI and Data Science teams, translating functional R&D requirements into actionable data and governance initiatives in the areas of responsibility, such as clinical operations and management Collaborate with AI/ML teams to ensure the data is trusted, compliant, and ready for use in advanced analytics and AI applications. Identify and evaluate opportunities to leverage AI technologies to automate reporting analytics and governance workflows, such as metadata tagging and data quality checks. Collaborate with Enterprise wide Data and Information initiatives to deliver on Otsuka's Data, AI, reporting analytics, and information utilization, and governance goals Leadership and Stakeholder Management Lead, mentor, and develop a high-performing team of data and reporting professionals, fostering a culture of ethical governance and continuous learning. Drive a data and AI awareness culture change across R&D to embed data ownership and stewardship into business processes and to treat data as a shared corporate asset. Ensure Lead analytics and reporting for Clinical Trial operations

Qualifications/ Required Knowledge/ Experience and Skills: 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 (e.g., clinical trials, drug development, external real-world data, genomics, and other digital/device and sensor data), data standards (e.g., CDISC), and regulatory compliance. Experience collaborating with data science and AI teams and a strong familiarity with the modern data stack (cloud platforms, data lakes, data catalogs). Familiarity with modern DSPM, and Data Governance solutions Excellent leadership, communication, and change management skills, with the ability to influence senior stakeholders across a complex, matrixed organization. Excellent communication and stakeholder management skills, with the ability to convey complex technical concepts to non-technical audiences. Competencies Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change. Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business. Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders. Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka. Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals. Empowered Development - Play an active role in professional development as a business imperative.