Associate Director, Data Engineering

About the Role

Key Responsibilities

• Define data engineering goals in partnership with GPS stakeholders and GPS BI&T leadership, monitor progress, and adjust strategy as needed.
• Lead the GPS BI&T Data Engineering team with a visionary approach, ensuring delivery of innovative data engineering programs.
• Provide regular updates on technical progress to stakeholders and BI&T leaders.
• Build and manage a high-performing Data Engineering team, including direct management of 6 professionals in the USA and Europe and matrix leadership of other global professionals.
• 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, leveraging emerging technologies and innovative solutions.
• Partner with GPS stakeholders to incorporate data 'art of the possible' into the team’s strategy and roadmap.
• Experiment with emerging technologies such as AI and scale solutions to deliver measurable business value.
• Ensure adherence to technical best practices in SDLC, DevOps, and analytics output, including scalable solutions, version control, documentation, and deployment.
• Evaluate new technologies and recommend impactful innovations for inclusion in the GPS technology roadmap.
• Cultivate strong relationships with GPS business stakeholders, BI&T teams, and cross-functional colleagues across global locations.
• Work closely with leadership to define data engineering priorities and deliver solutions aligned with business objectives.

Requirements

• 10+ years of progressive experience in Information Technology, data analytics, or pharmaceutical/healthcare industries, with a proven track record of 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.
• Experience with programming languages relevant to data pipelines such as Python, Java, or Scala.
• Experience with cloud computing environments and services, preferably AWS.
• Significant experience with ELT processes and building high-performance data layers.
• Experience with data streaming technologies such as Kafka.
• Proficiency with analytics tools and technologies including GitHub, SQL, R, dbt, Domino, Tableau.
• Strong project management skills and ability to lead complex projects.
• Excellent communication skills and ability to work effectively in a matrixed, global organization.
• Bachelor’s degree in a quantitative or scientific discipline; advanced degrees preferred.
• Occasional travel to BMS locations worldwide.

Nice to Have

• Experience with building and operationalizing predictive models, simulation, optimization frameworks, and AI solutions.
• Experience with graph database technology.

Qualifications

• Bachelor’s degree in a scientific or quantitative discipline.
• Advanced degrees (MS or Ph.D.) preferred.

Benefits & Perks

• Competitive salary range ($169,150-$205,000 in New Jersey; $186,070-$225,500 in Seattle) plus incentive cash and stock opportunities.
• Medical, pharmacy, dental, and vision care.
• Wellbeing support programs and employee assistance programs.
• Financial resources including 401(K) and disability/life insurance.
• Paid holidays, vacation, volunteer days, sick leave, and summer hours flexibility.
• Parental, caregiver, bereavement, and military leave.
• Family care services, tuition reimbursement, and recognition programs.