Executive Director, Enterprise Data And Insights

Description
Client is a leading global life sciences company dedicated to improving health and lives. They are seeking an Executive Director, Enterprise Data and Insights to define and execute the enterprise data and insights strategy, leveraging AI and analytics to deliver actionable insights for the organization.
Define and execute the enterprise data and insights strategy aligned to organizational priorities and paired with technology and healthcare industry trends
Lead the evolution to our third-generation, AI-first analytics capabilities grounded in first-principles thinking and responsible AI practices
Develop and execute strategies for Data-as-a-Service and Insights-as-a-Service for internal and external customers. Some technologies we use today are - AI stacks (AWS Bedrock Agent/Agent Core, Microsoft copilot), Data platforms (Databricks, Snowflake, Microsoft Fabric, SAP HANA), Visualization & Reports (PowerBI, Tableau, Crystal), etc
Partner with leaders across clinical, operational, and corporate functions (e.g., Sales & Marketing, RCM, Finance, Operations) to translate strategic priorities into actionable and scalable analytics capabilities
Identify and propose innovative analytical solutions that leverage corporate, clinical, and third-party data assets
Ensure stakeholder alignment through regular communication, executive reviews, and roadmap updates
Coordinate all aspects of defining and delivering analytics products that leverage enterprise, clinical, and third-party data sources
Establish well-governed processes that enable scale, quality, security, and responsible use of data and AI
Ensure analytical solutions meet regulatory, privacy, and security requirements inherent to healthcare data
Own accountability for the end-to-end delivery of enterprise analytics capabilities, including platforms, data products, and insight delivery mechanisms
Lead the execution of a prioritized portfolio of analytics initiatives, balancing speed, quality, and business impact
Define and track key metrics across the various value streams
Manage strategic vendor relationships, including oversight of contracts, statements of work, and delivery governance
Ensure vendor performance aligns with enterprise standards, delivery expectations, and value objectives
Qualification
Enterprise data strategy
AI-first analytics
Responsible AI practices
Data-as-a-Service
Insights-as-a-Service
AI stacks AWS Bedrock Agent/Agent Core
AI stacks Microsoft Copilot
Data platforms Databricks
Data platforms Snowflake
Data platforms Microsoft Fabric
Data platforms SAP HANA
Visualization tools PowerBI
Visualization tools Tableau
Visualization tools Crystal
Enterprise data architecture
Data governance
Data quality
Advanced business analytics
Cloud-native technologies AWS
Cloud-native technologies Azure
Cloud-native technologies Google Cloud Platform
Data engineering
ETL Py Spark
ETL Informatica
ETL Datastage
Analytical tools R
Analytical tools Python
Healthcare data analytics
Regulatory compliance
Cybersecurity
Required
Bachelor's Degree
10 or more years of technology leadership experience
5 or more years of experience in an executive role, leading large cross functional analytics teams in complex matrixed organizations
5 or more years of experience in modern enterprise data architecture, data governance, data quality and advanced business analytics
10 or more years of experience in cloud-native technologies (AWS, Azure, Google Cloud Platform). This includes data stacks such as Microsoft Fabric, Databricks, Snowflake. Data engineering & ETL technologies such as pyspakr, Informatica, Datastage and analytical tools such as R, python as well as visualization tools such as Tableau and PowerBI
Preferred
Master's Degree
Experience building and managing a large globally dispersed team
Experience leading complex technical product portfolios in regulated environments
Adept at managing large technology budgets, vendor relationships, and global delivery models
Experience leading operational excellence initiatives, including automation, process re-engineering, and shared services models
Familiarity with regulatory compliance, cybersecurity, and risk management frameworks in highly regulated…