The Senior Manager, Research & Innovation Data Integration enables world-class research and innovation by leading the integration, management, and optimization of data across the Technical Innovation & Supply Chain (TI&SC) function. This role requires strong expertise in data integration, cloud and hybrid architectures, and data governance, combined with the ability to partner effectively across technical and business teams. The successful candidate will build scalable, secure, and connected data environments that ensure trusted data access for analytics and insights. A strong change leader, this individual will champion innovation, continuous improvement, and compliance. Success in this role requires both technical depth and collaborative leadership. What You’ll Do for Us You will lead the discovery, integration, and governance of data assets that power research, innovation, and operational excellence across TI&SC. This role is responsible for building high-quality, scalable, and secure data integration capabilities that enable analytics, insights, and value creation. You will collaborate closely with platform architects, analytics teams, IT, and business stakeholders to ensure data is trusted, accessible, and compliant, while continuously improving data practices and adopting new technologies. Data Source Discovery, Integration & Enablement Identify, catalog, and manage diverse internal and external data sources across on‑premise, cloud, SaaS, and third-party platforms. Design, implement, and maintain secure, scalable data integration architectures and pipelines using modern cloud and hybrid technologies. Partner with IT, platform architects, and DevOps teams to enable connectivity through APIs, data lakes, ETL/ELT frameworks, and middleware. Oversee onboarding, documentation, lifecycle management, and vendor relationships related to data sources and integration technologies. Data Quality, Governance & Business Value Enablement Establish and enforce data quality standards, governance practices, and controls across hybrid and cloud environments. Lead data profiling, cleansing, harmonization, and standardization efforts using automation and advanced tools. Ensure adherence to data privacy, security, and regulatory requirements in partnership with compliance and information security teams. Enable analytics and business teams to transform integrated data into actionable insights, defining and tracking KPIs to measure business impact. Promote data literacy, support change management, and drive adoption of new data and cloud-driven strategies across TI&SC.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees