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Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Manager Master Data Management

Data ManagementConfirmed live in the last 24 hours
Full-timeAtlanta, GA, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Data Management, or a related field is required.
  • At least five years of experience in master data management, data management, or enterprise data governance, including at least two years in a people leadership or team management role.
  • Demonstrated experience managing MDM platform operations across multiple data domains, such as Customer, Vendor, Material, and Reference, in an enterprise environment.
  • Strong knowledge of MDM concepts, including domain modeling, match/merge frameworks, survivorship logic, hierarchy management, and golden record resolution.
  • Experience with enterprise data management platforms such as Informatica MDM, IDMC, or equivalent.
  • Ability to partner across data engineering, data governance, and business stakeholders, and represent the MDM function in architecture reviews and audit inquiries.
  • Atlanta-based employees are expected to work in the office Monday through Thursday in 2027, with Friday available remotely or in the office.
  • Candidates must be legally authorized to work in the United States without current or future visa sponsorship.

Responsibilities

  • Direct delivery of MDM platform operations, including domain data models, match/merge logic, survivorship rules, hierarchies, golden record management, and reference data structures across four governed domains.
  • Ensure MDM data products published through the Data Catalog are configured, access-routed, and operationally supported.
  • Hold the team accountable for platform reliability, mastered data quality, metadata completeness, and governance compliance.
  • Oversee platform administration, including environment management, connector configurations, source system mappings, upgrades, and patches.
  • Ensure mastered data is production-ready for downstream analytics, reporting, and AI use cases.
  • Own execution of MDM governance, including stewardship workflows, approvals, escalations, and operating cadence aligned with the enterprise Data Governance framework.
  • Partner with the Manager, Data Governance to integrate metadata, lineage, access controls, and data quality rules into MDM processes.
  • Drive MDM stewardship adoption through clear role definitions, enablement, and practical workflows for Data Stewards and Data Owners.
  • Define and track stewardship engagement metrics, including coverage, task completion, SLA adherence, issue backlog aging, remediation throughput, and adoption of match-and-merge and survivorship rules.
  • Lead harmonization of master and reference data, ensuring consistent definitions, hierarchies, code sets, and golden record rules across regions and source systems.
  • Provide executive visibility into MDM adoption, stewardship effectiveness, and domain harmonization through dashboards and periodic reporting.
  • Coordinate with Data Engineering to ensure reliable, governed, and performant data flows between source systems, the MDM platform, the enterprise lakehouse, and downstream consumers.
  • Partner with business data owners and stewards across regions to serve enterprise needs while maintaining IT platform ownership and business ownership of data standards and decisions.
  • Align work execution to enterprise data outcomes, including trusted data, operational reliability, metal flow optimization, sustainability goals, and operational efficiency.
  • Support the enterprise Data & AI Governance framework by embedding governance into MDM workflows and deliverables.
  • Contribute to quarterly planning, feature scoping, and sprint execution aligned with the enterprise delivery roadmap and KPI framework.
  • Hold scheduled, listening-first engagement sessions with every team member and open team meetings with people topics before task topics.
  • Empower the team by delegating decisions and ownership, sponsoring ideas regardless of tenure or title, maintaining a growth plan for each team member, and connecting each with a peer mentor.
  • Track team engagement, including retention, survey results, and session cadence, alongside delivery commitments, and use the engagement budget to build team connection.
  • Lead and manage approximately four MDM lead analysts, analysts, and engineers, with a dotted-line relationship to a cross-pillar data engineer supporting IDMC platform integration.
  • Set performance expectations, conduct calibrated performance reviews, and provide ongoing coaching, mentoring, and career development for each team member.
  • Define team structure, capacity allocation, work prioritization, and succession planning to support operational continuity and talent depth.
  • Foster operational discipline, engineering excellence, continuous improvement, and accountability within the team.
  • Represent the MDM function in IT architecture reviews, planning forums, and audit or regulatory inquiries related to master and reference data.

Desired Qualifications

  • A master's degree in a technical or business-related field, or equivalent advanced experience.
  • A professional certification such as Certified Data Management Professional (CDMP) or equivalent.
  • Experience in manufacturing, industrial, or sustainability-focused organizations where master and reference data are critical to operations.
  • Experience leading data domain harmonization across multi-region, multi-source-system environments.
  • Familiarity with enterprise privacy and data protection concepts such as GDPR as they apply to master data domains.
  • Experience integrating MDM with data lakes, analytics platforms, governance catalogs, or data marketplaces in cloud-native environments.

About the Company

Novelis

Produces flat-rolled aluminum; recycles aluminum globally

Novelis produces flat-rolled aluminum products and is the world’s largest aluminum recycler. It creates aluminum sheets and plates for aerospace, beverage cans, automotive, and high-end markets through an integrated network of rolling mills and recycling facilities worldwide, using scrap and primary material to make consistent, high-quality products. It differentiates itself by its global scale and the integration of rolling and recycling across multiple regions, plus a strong focus on health, safety, and community partnerships. Its goal is to be the leading global provider of flat-rolled aluminum and aluminum recycling solutions, delivering reliable, sustainable products worldwide.

Company size
5,001-10,000
Company stage
Debt Financing
Total funding
$2.2B
Headquarters
Zurich, Switzerland
Founded
2005

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