MilliporeSigma is looking to drive the delivery of a robust data and digital product ecosystem that fuels advanced analytics and AI/ML initiatives across the organization, requiring a Head of Data & AI Enablement to lead a global team, ensure high-quality, governed data as a reusable asset, and effectively manage digital applications.
Requirements
- Deep expertise - with hands-on experience - in data engineering and pipeline development, data governance frameworks, data quality and compliance, business intelligence and data visualization tools, digital product ownership of data analysis platform, AI/ML practices including model lifecycle management, feature stores, and reproducibility; Data, systems and software lifecycle management.
- Familiarity with AI/ML practices including model lifecycle management, Data, Systems
- Experience establishing effective strategic plans and business objectives for AI/ML adoption.
Responsibilities
- Drive the delivery of a robust data and digital product ecosystem that fuels advanced analytics and AI/ML initiatives across the organization.
- Lead a high-performing global team, ensuring high-quality, governed data is available as a reusable asset and that digital applications are effectively managed.
- Engage with diverse technical and functional teams, fostering collaboration to operationalize AI use cases for maximum value creation.
- Building curated datasets.
- Delivering secure Data-as-a-Service solutions.
- Owning critical data applications.
- Ensuring data quality and compliance.
Other
- A high-energy leader with management experience in Data Management, Data Engineering, Digital Products, or AI/ML Enablement, including experience at the Director level in the biotech/pharmaceutical industry.
- Proven track record of building and transforming data and AI practices, delivering large-scale digital initiatives, and scaling global teams in matrixed organizations.
- Exceptional analytical and problem-solving skills, with the ability to interpret data for decision-making and connect project initiatives to overarching business goals.
- Excellent communicator, able to present complex quantitative and qualitative data effectively to both technical and non-technical audiences.
- Proven ability to foster a culture of continuous improvement and innovation, encouraging participation and leveraging team strengths.
- Strong knowledge of regulatory requirements such as cGMP, GxP, FDA 21 CFR Part 11, and experience in validation and compliance practices.
