Define data engineering goals in partnership with GPS stakeholders and BI&T-GPS leadership.
Lead the BI&T-GPS Data Engineering team with a visionary approach, taking full accountability for delivering cutting-edge data engineering programs that drive impactful technology solutions.
Provide regular updates on technical progress to stakeholders and BI&T leaders.
Build and manage a high-performing Data Engineering team.
Direct management of 2-4 technology professionals in the USA or Europe.
Lead planning, diversity efforts, and colleague development initiatives to sustain a robust talent pipeline.
Develop, manage, and deliver a forward-thinking technology roadmap for Data Engineering that leverages emerging technologies and innovative solutions to deliver compelling value.
Actively partner with GPS stakeholders to ensure data “art of the possible” is central to the team’s strategy and roadmap.
Evaluate new technologies and proactively recommend impactful innovations with high ROI for inclusion on the overall GPS technology roadmap.
Cultivate strong relationships with GPS business stakeholders, BI&T teams, and cross-functional colleagues across global locations, fostering a collaborative environment that drives visionary data engineering solutions.

10+ years of progressive experience in Information Technology, data analytics, or pharmaceutical/healthcare industries, with a proven track record of visionary leadership and innovation.
5+ years in a leadership role managing teams or delivering IT or analytics programs.
Hands-on experience with SDLC methodologies, including DevOps, Agile, and Waterfall, in regulated environments.
Proven track record of managing complex projects, including resource allocation.
Experience with biopharma product development, manufacturing operations, supply chain, or quality controls is a significant plus.
Significant experience with programming languages relevant to managing data pipelines (e.g. Python, Java, Scala).
Experience with Databricks or similar platform preferred.
Experience with cloud computing environments and services, preferably AWS.
Significant experience with ELT processes, with an emphasis on building high performance data layers (Data and Analytics Engineering).
Experience with DevOps principles for CI/CD.
Experience with data streaming technologies, such as Kafka.
Proficiency with a modern suite of analytics tools and technologies, including GitHub, SQL, R, dbt, Domino, Tableau etc. (Analytics Development)
Experience with building and operationalizing predictive models, simulation, optimization frameworks and AI solutions is a plus (Analytics Ops)
Experience with graph database technology is a plus.
Hands-on experience with agile methodologies and tools like JIRA.

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 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.
Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays)
Based on eligibility, additional time off for employees may include 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 and an annual Global Shutdown between Christmas and New Years Day.

Associate Director, Data Engineering

Key skills