Director, Data Engineering & Analytics

Bristol Myers Squibb•Devens, MA

1d•$200,180 - $266,822•Hybrid

About The Position

At BMS, digital innovation and Information Technology are central to our vision of transforming patients’ lives through science. To accelerate our ability to innovate and guarantee supply to our patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote robust products and processes, faster decision making, and more efficient manufacturing and supply. We are seeking an experienced and highly motivated Director of Data Engineering to join the Digital Strategy & Process Optimization team within the Manufacturing Sciences & Technology (MS&T) organization. In this role, the Director will be accountable for the strategic direction, delivery, and long-term sustainability of the PDS Data Spine and MS&T data ecosystem. They will also be responsible for leading a team of data engineers designing, building, and maintaining manufacturing data assets, data products and advanced analytics to enable rapid investigation resolution and advanced multivariate model development for real-time process monitoring and control. As Product Owner for the PDS Data Spine and MS&T Data Suite, the Director owns the vision, roadmap, governance, and value realization of MS&T data capabilities, including CMO data connectivity and UDM (Unified Data Model) integration for MS&T. The role provides people and technical leadership to the MS&T Data Engineering team and serves as a key interface with Enterprise Data, IT, Quality, and External Manufacturing. The ideal candidate will have expertise in data engineering, data systems, data governance, and data analytics and will be comfortable working with both structured and unstructured data, and the ability to set the data engineering and analytics strategy. If you want an exciting and rewarding career that is meaningful and directly helps deliver lifesaving medicines to patients, consider joining our diverse team!

Requirements

Expected bachelor’s degree in a relevant discipline with a minimum 15 years of relevant work experience. in engineering or science (e.g. Process Engineering, Chemical Engineering, or Applied Mathematics/Statistics/Data Science. Multi-discipline is preferred)
Significant leadership experience delivering enterprise-scale data platforms in regulated environments.
Expertise with large‑scale data processing platforms such as Databricks, Spark‑based systems, and distributed compute frameworks used for batch and streaming data engineering.
Experience with enterprise data science & MLOps platforms such as Domino Data Lab (or equivalents) for reproducibility, model lifecycle management, auditability, and regulated‑environment deployment.
Data governance, quality, and security leadership – Proven experience implementing data quality, observability, lineage, access control, and compliance frameworks across the data platform (especially in regulated industries
A solid technical knowledge of unit operations associated with biologics and pharma manufacturing processes such as large-scale cell culture, protein purification, blending.
Experience in data systems such as OSI PI (PI Historian, PI Vision), Discoverant, LIMS, Datalake.
Working knowledge of Automation tools such as DeltaV, Syncade MES.
Experience with manufacturing process time series data, images, and spectra data.
Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams.
Demonstrated performance against cooperation principles and enterprise mindset.
Exceptional experience managing multiple priorities and working in fast-paced, constantly evolving environment with a variety of cross-functional teams.
Demonstrated problem solving ability, attention to details, and analytical thinking.
Exceptional communication skills: Oral/Written.

Responsibilities

Enterprise Product Owner for the PDS Data Spine and MS&T Data Suite with accountability for strategy, roadmap, funding prioritization, and value delivery.
Establish and communicate the long-term vision for MS&T data aligned with MS&T, PDS, and enterprise digital strategies.
Own CMO data connectivity standards and scalable integration patterns for external manufacturing data.
Own UDM integration for MS&T, ensuring alignment with enterprise data models and governance frameworks.
Act as key decision authority for MS&T data product scope, sequencing, and trade-offs.
Provide strategic and operational leadership to the MS&T Data Engineering team.
Oversee architecture and delivery of end-to-end data pipelines and analytics-ready assets forming the PDS Data Spine.
Ensure integration across internal manufacturing systems, CMOs, and enterprise UDM platforms.
Set standards for data quality, harmonization, observability, and lifecycle management.
Executive accountability for GxP-compliant MS&T data delivery.
Ensure data integrity, auditability, validation readiness, and security by design.
Partner with Quality, IT, Enterprise Data Governance, and External Manufacturing to manage risk.
Senior MS&T data representative to enterprise and PDS leadership forums.
Influence investment decisions and prioritize MS&T data outcomes.
Define and track outcome-based metrics demonstrating business and scientific value.
Enable AI/ML, digital twins, and self-healing manufacturing via a trusted data foundation.
Work as a member of the MS&T Digital Strategy & Optimization team to lead a team to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as an enabler of advanced process modelling and other analytics.
In collaboration with Information Technologies, responsible for developing, implementing, and maintaining the process data engineering & analytics strategy for MS&T, including the selection and deployment of scientific and analysis software tools based on a thorough understanding of user requirements and business context.
Drives development of advanced manufacturing analytics and controls, integrating process science, engineering principles, and data analytics, into models and tools that support improvements in manufacturing outcomes.
Provides data analytics SME support for complex data analysis requests, such as critical investigations or yield improvement initiatives.
Collaborates with global and site functions, within and outside MS&T, to identify areas of opportunity for leveraging the GPS data lake and other IT infrastructure to realize business benefits.
Leads and facilitates the definition and implementation of knowledge management strategies for the MS&T community.
Maintains awareness of external trends and represents BMS at industry forums.
Design and establish a scalable framework for engineering new features and processing modular datasets across different subject areas into modelling-ready data.
Collaborate with Data & Supply Technology Excellence (DSTE) team within GPS IT to shape data and technology strategy and drive towards synergistic outcomes.
Optimize or redesign existing data engineering solutions to improve efficiency or scalability.
Devise and implement data engineering best practices across the team with a focus on short-term deliverables and strategic capabilities.
Partner with and guide offshore data partner team who provides support in implementing, maintaining, and supporting data engineering pipeline.
Mentor and provide guidance to fellow Data Engineers where required.
Leverage the latest advances in data engineering and analytics to design innovative solutions.
Learn new technologies and lead proof-of-concepts to further innovate and optimize data engineering approaches.
Acquire and maintain thorough understanding of internal and external manufacturing data landscape, including enterprise and site systems, data warehouses, and data lakes.

Benefits

Medical, pharmacy, dental, and vision care.
BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees))
160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
unlimited paid sick time
up to 2 paid volunteer days per year
summer hours flexibility
leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs
an annual Global Shutdown between Christmas and New Years Day.