Engineering Projects Senior Manager
About this opportunity
Career Category
Project Management
Job Description
ABOUT THE ROLE
The Engineering Projects Senior Manager – Capital Equipment Analytics leads the development and delivery of equipment-focused analytics capabilities supporting global capital projects. This role is responsible for building and scaling centralized analytics capability within AIN, delivering data-driven insights across the full equipment lifecycle - from demand forecasting and procurement through delivery, installation, and reporting.
The role is accountable for leading a high-performing team and ensuring consistent, high-quality analytics that improve visibility into equipment demand, timing, and spend. By integrating equipment data with cost, schedule, and enterprise systems (e.g., SAP), this role enables more accurate forecasting, stronger alignment to project plans, and improved decision-making across project teams.
With a strong focus on standardization and scalability, this role drives the development of data models, digital tools, and reporting solutions that enhance predictability, reduce risk, and improve delivery timelines. As part of the AIN Project Controls organization, this role partners closely with global project controls, procurement, and engineering teams to drive adoption and continuous improvement of equipment analytics capabilities.
ROLES & RESPONSIBILITIES
Experience in digital procurement, supply-chain analytics, capital-equipment analytics, industrial technology, construction technology, enterprise software, or analytics product development.
Knowledge of capital equipment procurement, equipment lifecycle management, demand planning, supplier performance, long-lead equipment, bid analysis, and delivery tracking.
Experience with procurement, Source-to-Pay, purchase orders, supplier data, project schedules, cost systems, installation records, and equipment master data.
Strong technical background in data engineering, databases, data structures, data modeling, data science, algorithms, APIs, system integrations, and cloud data platforms.
Experience with analytics product management, data-product development, workflow automation, AI/ML, predictive analytics, and UI/UX.
Exposure to technologies such as Databricks, SAP, n8n, SQL, Python, R, GitLab/GitHub, VS Code, Codex, React, Lovable, and related modern development tools.
Familiarity with data governance, master data management, equipment taxonomies, data quality, data lineage, ETL/ELT, and data pipelines.
Supply-chain analytics or digital-procurement-platform experience strongly preferred; comparable experience in another complex operational environment is acceptable.
Capital-project or construction experience preferred.
Pharmaceutical, biotechnology, or another regulated-industry background preferred.
PREFERRED/GOOD TO HAVE QUALIFICATIONS & SKILLS
Documented experience understanding equipment delivery across projects
Strong experience with data analytics tools and systems, including Power BI and SAP
Experience working with capital equipment, procurement, or supply chain data in a project environment
Experience supporting capital projects in the pharmaceutical or biotechnology industry
Strong understanding of equipment lifecycle processes, procurement workflows, and capital project delivery
Experience integrating data across cost, schedule, and procurement systems
Experience building data models, dashboards, and scalable analytics solutions
Familiarity with automation, data engineering concepts, or advanced analytics techniques
Demonstrated ability to drive standardization, process improvement, and adoption of analytics solutions
Strong stakeholder management and communication skills across global teams
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Job details
How this role compares
Computed from every other active Manufacturing & CMC role in our database, not just this employer's listings.
We currently track 493 comparable Manager Manufacturing & CMC roles across 73 biopharma companies.
Salary context
150 of 493 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 493 comparable roles
+ 25 more countries
Seniority mix
493 of 493 peers have a known seniority level
Therapeutic area mix
4 of 493 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.
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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.