Head of Data jobs in Boston, MA

The Senior Director will provide strategic leadership and operational oversight for clinical technology platforms, database programming, and data integrations. They are responsible for developing a scalable clinical systems roadmap while ensuring compliance with GCP and regulatory standards across the clinical development portfolio.

Lead and develop a team of data engineers while setting the technical direction and roadmap for the company's data platform. Partner with cross-functional teams to design and deliver scalable, well-governed data pipelines that support clinical operations and advanced analytics.

You will lead the strategy for scaling data science and analytical methods to optimize drug asset acquisition and diligence processes. This involves directing cross-functional teams of data scientists and engineers to translate scientific findings into durable, scalable tools and roadmaps.

The Director leads the GRIDS Innovation Program by establishing a structured framework to capture, prioritize, and deliver continuous improvement initiatives across Global Regulatory Affairs. This role ensures innovation is managed as a disciplined capability while driving transparency, governance, and value realization across the innovation lifecycle.

Develop and execute global account strategies to grow partnerships with top pharmaceutical and biotechnology companies. Drive revenue goals for Data and AI product lines while establishing the company as a leading precision medicine partner.

The Associate Director will lead the commercial data governance strategy, roadmap, and operating model to ensure data quality, consistency, and security. They will facilitate governance forums and collaborate with cross-functional teams to define data standards, policies, and accountability frameworks.

The Senior Director leads the intelligence engine for integrated customer experience, overseeing data strategy, AI agents, and predictive modeling to drive commercial engagement. This role manages cross-functional partnerships to ensure compliant, scalable, and impactful AI solutions across the organization.

Lead the strategic application of commercial data science, partnering across functions to develop analytics roadmaps and provide insights that improve go-to-market strategy, market access, physician and patient experiences, and revenue growth. Build predictive models and experiments, analyze commercial datasets, optimize field effectiveness, and communicate findings through visualizations, reports, and automated solutions.

The Director of Data Science will lead the strategic vision for extracting intelligence from petabyte-scale fleet data and simulation ecosystems. This role involves driving statistical rigor to translate raw road data into high-fidelity performance metrics that inform vehicle launch readiness and safety-critical decisions.

The role involves establishing the enterprise information architecture vision and leading the Business Intelligence and Data Warehouse teams. You will be responsible for developing team strategy, mentoring staff, and ensuring the delivery of high-quality, innovative data solutions that align with business goals.

Lead the strategy, development, certification, and adoption of reusable Finance data products across Finance, Treasury, Financial Risk, and Sustainability, while advancing a common enterprise data foundation and reducing legacy-platform reliance. Embed governance and controls throughout the product lifecycle, modernize delivery through AI and automation, and lead a global U.S. and India organization while aligning senior stakeholders across business and technology.

The role is responsible for establishing and operating enterprise-wide governance, risk, and regulatory oversight for Data, AI, and Agentic AI capabilities. It serves as the primary point of accountability for regulatory, audit, and supervisory engagements while ensuring high-quality, trusted data and AI standards across all lines of business.

The Director will drive the technology and data strategy for Alumni Engagement and Development, leveraging AI and analytics to enhance alumni experiences. They will lead cross-functional teams, manage IT infrastructure, and ensure alignment with broader Harvard University technology goals.

The Director of Enterprise Data & AI Platforms leads the strategy, architecture, and delivery of enterprise AI, data, and analytics platforms. This role oversees the end-to-end lifecycle of AI systems and data infrastructure while driving governance, responsible AI adoption, and cross-functional collaboration.

The role serves as the Process Owner for R&D Data and Records Integrity, overseeing data governance and AI risk assessments across the organization. It involves managing key quality technology systems, driving digitization initiatives, and ensuring compliance with GxP standards during regulatory inspections.

The Director will lead data validation risk initiatives and oversee complex data analysis workstreams to support client business decisions. They are responsible for driving business growth, managing executive-level client relationships, and mentoring team members in analytical and governance practices.

The Director will lead the enterprise commercial data strategy, defining roadmaps for data acquisition, governance, and analytics enablement. They will partner with cross-functional teams to ensure high-quality data supports strategic decision-making and business outcomes.

The Director of Data Governance will define and lead the data governance strategy, operating model, and roadmap to ensure data trustworthiness and compliance. They will build and lead a senior team while partnering with cross-functional stakeholders to establish data ownership, quality standards, and privacy policies.

The role involves designing, building, and evaluating generative AI solutions and agentic systems while maintaining data semantic layers for enterprise-scale accessibility. The individual will also champion best practices across the data science organization and serve as a technical consultant on high-impact projects.

The Senior Director will lead the global Biometrics team in defining the product strategy and architectural roadmap for clinical data ingestion and advanced analytics. They are responsible for integrating AI/ML capabilities into clinical workflows while ensuring GxP compliance and managing complex global data platforms.

The Senior Director is responsible for the strategic leadership and operational oversight of Clinical Data Management units to ensure high-quality, timely delivery of clinical databases. They drive innovation, manage vendor relationships, and lead cross-functional efforts to optimize operational delivery and regulatory compliance.

The Director leads strategic portfolio, financial, and workforce planning while driving AI-enabled governance and reporting for the Investments, Data, and Experience organization. They are responsible for managing vendor relationships, overseeing change enablement, and translating complex performance data into actionable executive insights.

The Director of Scientific Data will lead the scientific data team to define and execute strategies for data acquisition, normalization, and integration across the platform. This role serves as the primary bridge between scientists and engineers to ensure high-quality, structured scientific data that supports drug discovery efforts.