Associate Director, Data Engineering

About This Role

Lead the BI&T-GPS Data Engineering Team, ensuring data availability for analytics systems within Bristol Myers Squibb. This role involves strategizing, building, and operationalizing data pipelines, managing a team of technologists, and driving impactful technology solutions.

Responsibilities

• Define data engineering goals in partnership with GPS stakeholders and BI&T-GPS leadership, cascade goals, monitor progress, and adjust strategy
• Lead the BI&T-GPS Data Engineering team with a visionary approach, taking full accountability for delivering cutting-edge data engineering programs
• Provide regular updates on technical progress to stakeholders and BI&T leaders, and periodic updates and technical demonstrations to the Head of GPS
• Build and manage a high-performing Data Engineering team, including direct management of 2-4 technology professionals and matrix leadership of others
• 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
• Partner with BI&T teams and GPS stakeholders to experiment with emerging technologies such as AI, scaling viable solutions
• Ensure adherence to technical best practices in SDLC and analytics output, including scalable solutions, code version control, documentation standards, and deployment
• Cultivate strong relationships with GPS business stakeholders, BI&T teams, and cross-functional colleagues across global locations
• Ruthlessly prioritize data engineering work with GPS and BI&T leadership to deliver the most impactful solutions aligned with business objectives

Requirements

• 10+ years of progressive experience in Information Technology, data analytics, or pharmaceutical/healthcare industries
• 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
• Significant experience with programming languages relevant to managing data pipelines (e.g. Python, Java, Scala)
• 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
• Bachelor's degree in a quantitative or scientific discipline

Qualifications

• A bachelor's degree in a quantitative or scientific discipline is required. Advanced degrees (MS. or Ph.D.) in relevant fields are preferred.
• 10+ years of progressive experience in Information Technology, data analytics, or pharmaceutical/healthcare industries, with 5+ years in a leadership role managing teams or delivering IT or analytics programs.

Nice to Have

• Experience with biopharma product development, manufacturing operations, supply chain, or quality controls
• Experience with Databricks or similar platform
• Experience with building and operationalizing predictive models, simulation, optimization frameworks and AI solutions
• Experience with graph database technology
• Advanced degrees (MS. or Ph.D.) in relevant fields

Skills

* Required skills

Benefits