Senior Manager Data Engineering
About this opportunity
Career Category
Engineering
Job Description
Senior Manager – Data Engineering (EDSE)
About the Role
Let's do this. Let's change the world.
We are looking for an experienced Senior Manager, Data Engineering to lead strategic data engineering initiatives within Enterprise Data Strategy & Engineering (EDSE). This role will guide high-performing engineering teams, deliver enterprise-scale data platforms and data products, modernize the Enterprise Data Fabric (EDF), and enable advanced analytics, AI, and digital transformation across Finance, Supply Chain, Research & Development, Operations, and other business domains.
Key Responsibilities
Strategic Leadership
Lead and develop data engineering teams responsible for enterprise data products, platforms, and mission-critical data solutions.
Define and execute the domain data engineering roadmap in alignment with EDSE and enterprise priorities.
Advance modern data engineering, cloud, AI, automation, and observability capabilities.
Collaborate with business stakeholders, product teams, architecture, and platform engineering groups to deliver measurable business outcomes.
Delivery & Execution
Oversee the design, development, deployment, and support of scalable data products and pipelines.
Ensure strong delivery across build, enhancement, RunOps, and KTLO activities.
Manage commitments, capacity, priorities, risks, and vendor execution.
Set engineering standards, quality practices, and performance measures across the team.
Enterprise Data Platform & Architecture
Lead implementation of the Enterprise Data Fabric (EDF), semantic layer, data products, and governance initiatives.
Work with Enterprise Data Architecture and Platform Engineering teams to deliver scalable, secure, and reusable solutions.
Promote metadata-driven engineering, automation, observability, data quality, and governance practices.
AI & Innovation
Champion AI, traditional ML, Generative AI, Agentic AI, and automation to improve engineering efficiency and business value.
Assess and adopt emerging technologies that accelerate delivery, improve data accessibility, and strengthen platform reliability.
Drive innovation through reusable accelerators, engineering frameworks, and platform modernization.
People Leadership
Build, mentor, and develop high-performing data engineering teams.
Create a culture of technical excellence, collaboration, innovation, and continuous learning.
Oversee performance management, career development, succession planning, and talent acquisition.
Lead global, multi-vendor delivery teams aligned to organizational goals.
Required Qualifications
12+ years of experience in data engineering, data platforms, analytics engineering, or related fields.
5+ years of leadership experience managing engineering teams and large-scale delivery programs.
Strong experience with Databricks, Spark, PySpark, SQL, Python, AWS, and cloud-native data architectures.
Proven ability to build enterprise-scale data platforms, data products, and integration solutions.
Strong understanding of Data Fabric, Data Mesh, Lakehouse, metadata management, and governance.
Experience working in Agile or SAFe delivery environments.
Excellent communication, stakeholder management, and leadership capabilities.
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Job details
How this role compares
Computed from every other active Data & Digital role in our database, not just this employer's listings.
We currently track 55 comparable Manager Data & Digital roles across 19 biopharma companies.
Salary context
26 of 55 peers report a salary range (USD, annualized)
Peers share this role's job function and a matching or adjacent seniority level -- not necessarily the same therapeutic area or country.
Where these roles are based
Top locations among the 55 comparable roles
+ 4 more countries
Seniority mix
55 of 55 peers have a known seniority level
Therapeutic area mix
1 of 55 peers have a known therapeutic area; the rest are genuinely unlabeled, not hidden
Similar opportunities
The closest matches from our peer group, ranked by how similar they are, not how well you'd qualify for them -- treat this as market context, not a guaranteed shortlist; a weak match is labeled as one below.
Notify me about similar jobs
Get an email when we spot other openings like this one – same job function, comparable seniority, roles you'd actually want to see.
How we calculate "similar"
No black box, no LLM guesswork: a deterministic score built from four normalized attributes. Here's this role's own peer group at different match levels, so you can see the mechanism, not just the result.
Every comparison starts from the same 100-point budget: 25 for working in the same function, 40 for the same therapeutic area, 20 for the same or adjacent seniority, 15 for the same country. A dimension we can't confirm on both sides contributes nothing, never a guess, never a free pass.
0 points, never a partial guess. A role we know almost nothing about beyond its function bottoms out at 25%; it never inflates to 100% just because there's little to compare against. Seniority uses a defined ladder (Associate → Manager → Associate Director → Senior → Principal → Director → Senior Director → Executive/VP) so "Director" and "Senior Director" count as adjacent, but "Director" and "Executive/VP" do not.