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Manager Data Analytics

Job in Alameda, Alameda County, California, 94501, USA
Listing for: Thornton Tomasetti
Full Time position
Listed on 2026-10-04
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering
Salary/Wage Range or Industry Benchmark: 114000 - 228000 USD Yearly USD 114000.00 228000.00 YEAR
Job Description & How to Apply Below
Job Description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life.

You’ll also have access to:
  • Career development with an international company where you can grow the career you dream of.
  • Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
  • An excellent retirement savings plan with a high employer contribution.
  • Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
  • A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
  • A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.
The Opportunity

This position is an onsite opportunity within the Abbott Diabetes Care Division in Alameda, California.

We are helping people with diabetes lead healthier, happier lives.

As a global leader in diabetes care, Abbott is committed to delivering innovative products, superior quality, and exceptional support to customers worldwide.

Continuous glucose monitoring is transforming diabetes management, and our Procurement team plays a critical role in enabling innovation, supply continuity, and cost competitiveness across our portfolio.

The Manager, Data Analytics leads a team of data professionals, including Data Analysts, Data Scientists, and Data Engineers, driving the development and execution of Artificial Intelligence (AI) and data analytics strategies that support business objectives and digital transformation initiatives.

This role oversees critical data projects, fosters cross‑functional and vendor partnerships, and ensures effective management of data warehouses, data lakes, and governance standards.

By leveraging advanced analytical tools and techniques, the Manager transforms complex and diverse data sources into actionable insights, enabling data‑driven decision‑making and delivering measurable business impact.

Up to 25% travel, including domestic and international.

This is an onsite opportunity in Alameda, CA.

What You’ll Work On
  • Lead and develop a team of Data Analysts, Data Scientists, Data Engineers, and related professionals, providing direction, coaching, and performance feedback.
  • Oversee day‑to‑day team operations, resource allocation, and project execution to ensure timely and effective delivery of analytics solutions.
  • Support the development and implementation of data analytics strategies and digital transformation initiatives that align with business objectives.
  • Partner with business leaders, cross‑functional teams, and external vendors to identify opportunities, drive adoption of data‑driven solutions, and deliver business value.
  • Manage the planning and execution of business data projects, including project plans, milestones, risks, dependencies, and resource needs.
  • Serve as a key analytics partner to stakeholders, communicating insights and recommendations that support decision‑making.
  • Apply and uphold data governance standards, supporting data quality, integrity, security and effective management of enterprise data assets.
  • Leverage AI, analytical tools, automation, statistical…
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