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Enterprise Data Steward; Vendor Master Data

Job in Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: Elanco
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Data Steward (Vendor Master Data)
Location: Indianapolis

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.
At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role:

As an Enterprise Data Steward at Elanco, you will be a vital champion for our most critical data assets, playing a pivotal role in ensuring the quality, integrity, and usability of those assets. Reporting to the Enterprise Data Office, you will be accountable for Vendor Master data and will be responsible for ensuring its quality, integrity, and business value. The role will partner closely with business stakeholders and IT, helping to implement and uphold data governance policies and standards.

This role is perfect for a detail-oriented professional with deep business knowledge who can act as the crucial link between business stakeholders and IT to ensure our data is trusted, understood, and used effectively.

Your Responsibilities:
  • Own the Customer and Price data domains as the subject matter expert; define and document critical data elements, business rules, and standards in the enterprise data catalog with business and technical partners.
  • Ensure data quality end-to-end
    : set quality rules and metrics, proactively monitor, lead root‑cause analysis, and drive timely issue resolution with data producers and consumers.
  • Govern access and lifecycle
    : manage review/approval processes for data access, and oversee creation, usage, archival, and disposal in compliance with retention, regulatory, and security policies.
  • Champion data literacy and governance
    : promote proper data use across the enterprise and represent the domain in the Data Council/Data Governance Committee to align decisions and priorities.
  • Advance architecture and measure impact
    : translate business needs into data models/integrations, identify innovation opportunities, track KPIs with business/IT, and recommend best‑practice and emerging tech improvements.
What You Need to Succeed (Minimum Qualifications):
  • Education
    :
    Bachelor’s degree in Information Systems, Data, Process, or a related field.
  • Required Experience
    : 8+ years strong foundational knowledge of data governance principles, including data quality, metadata management, and data stewardship. Deep knowledge and experience in a relevant business function (e.g., R&D, Manufacturing, Commercial, Finance, Supply Chain, etc.).
  • Data Tools Familiarity
    :
    Experience with data cataloguing tools (e.g., Collibra) and data quality management software.
What Will Give You a Competitive Edge (Preferred Qualifications):
  • Analytical Mindset
    :
    Excellent analytical and problem‑solving skills, with the ability to investigate complex data issues and identify root causes.
  • Communication and Influence
    :
    Exceptional communication and interpersonal skills, with the ability to collaborate effectively and influence stakeholders across different business and technical teams.
  • Attention to Detail
    : A highly organized and meticulous approach to managing data definitions, standards, and quality.
  • Process‑Oriented
    :
    Experience in process improvement and a demonstrated ability to think systematically about how data flows through the organization.
  • Data‑Driven Attitude
    : A passion for data and a firm belief in its power to drive business outcomes. Should also possess a foundational understanding of data architecture principles, including data modeling, integration patterns, and data platform concepts, with an ability to articulate how these support business strategy.
  • Demonstrated Skill in Issue Resolution and…
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