Sr Associate- Digital and AI Performance analytics
About this opportunity
Career Category
Supply Chain
Job Description
The GD Performance and Analytics Sr Associate will be expected to ensure quality of the Global Distribution performance data, that the analytics are in alignment across the globe and achieve standardization of the KPIs. The candidate will apply Supply Chain technical knowledge to support the business in the decisions of analytics, its definition and standardization. In addition will measure performance, seeking for a standard visualization and will focus on support the business to maintain and improve performance.
Major Accountabilities
Apply the Supply Chain knowledge and experience to support the GD business unit to evaluate current metrics, define changes required, standardization and creation of new metrics when applicable.
Ensures alignment in calculation of KPI for the functions covered by global distribution across the globe and standardization of definitions per function.
Ensure the quality of data used for performance management and analytics and will seek to achieve automation in the calculation of the defined metrics
Works in alignment with the current enabled technologies at Amgen to ensure standardization of the visualization of the KPIs across the functions/regions.
Supports the coordination of the Operating Business reviews for the Global Distribution organization ensuring that performance metrics are reviewed and aligned with the latest goals and strategies
Supports the newly developed visualization tools by ODS ie: budget tool to ensure that the right performance is being measured and that the metrics evolve accordingly with the business needs
Basic Qualifications
Bachelor's Degree & 4 years of work experience Or
Preferred Qualifications
Working knowledge of Python, SQL, JavaScript, Power Platform, Power Automate, APIs, or similar development / automation tools.
Experience with Microsoft Copilot Power Apps, Power Automate, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, Confluence, or similar tools.
Experience in data analytics, performance management and project Experience with Microsoft Copilot Power Apps, Power Automate, Databricks, Snowflake, Alteryx, Tableau, Power BI, SharePoint, Jira, Confluence, or similar tools.
Data analytics and performance management experience
Strong problem solver
Good communications skills with all levels of an organization (written and oral)
Effective collaborator and passion for continuous improvement.
Self-starter with high attention to detail, able to work on assigned tasks independently, able to identify and initiate discussions about opportunities for process improvement.
Good organization and time management skills, ability to multi-task.
Proficiency with Microsoft Office tools
A successful candidate will also have:
Six Sigma Green or Black Belt or SCOR certification
Knowledge of MS Project, Operational Excellence tools
Process understanding, analysis and ability to visualize them
Ability to successfully manage multiple competing priorities simultaneously
Experience working with complex projects or processes and can utilize change management to drive results
Able to work both autonomously and in teams
Able to work under pressure
Direct experience with ERP Operating System
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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 641 comparable Senior Manufacturing & CMC roles across 87 biopharma companies.
Salary context
230 of 641 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 641 comparable roles
+ 23 more countries
Seniority mix
641 of 641 peers have a known seniority level
Therapeutic area mix
2 of 641 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.