Novelis is seeking a Data Quality champion within IT and the technical owner of the Informatica IDMC data quality platform. Reporting to the manager of data governance, this role is responsible for establishing, operating, and configuring enterprise data quality standards, controls, and monitoring to ensure data is accurate, consistent, and trusted across the organization. The Lead Data Quality Engineer drives the execution of data quality capabilities in alignment with business needs and enterprise governance frameworks, ensuring high‑quality data is available to support analytics, reporting, and operational use cases at scale.

Responsibilities

Data Quality Platform Operations

• Establish, operate, and configure enterprise data quality standards, controls, and monitoring to ensure data is accurate, consistent, and trusted across all governed domains.
• Configure and implement data quality rules, profiling jobs, alerting, scoring, and issue routing workflows.
• Partner with MDM, Data Engineering, and Governanceteams to embed data quality controls earlier in the data lifecycle including ingestion, mastering, and transformations layers.
• Define and handle certification criteria for datasets entering curated or analyticsready layers based on agreed quality thresholds.
• Publish domainlevel data quality scorecards and dashboards, maintaining data quality SLAs defined by business data owners.
• Partner with Data Owners and Data Stewards to ensure data quality rules, metrics, and thresholds reflect agreed business expectations.
• Establish and operate an endtoend data quality issue management process, from detection through remediation and closure.

Stewardship Enablement & Adoption

• Design and operate stewardshipfriendly data quality workflows, including issue assignment, prioritization, and resolution tracking.
• Enable rolebased views and task queues, so Data Stewards and Data Owners see only the quality issues for which they are accountable.
• Partner with Data Governancecouncil to onboard, train and enable Data Stewards and Data Owners to use the data quality platform effectively.
• Drive adoption by embedding data quality tasks into existing business workflows rather than standalone IT processes.

Data Quality Accountability Model

• Define and maintain a data quality accountability model that clearly distinguishes:
• Data Owners 12 accountable for quality outcomes
• Data Stewards 12 responsible for issue triage and coordination
• IT 12 enables monitoring, tooling, and workflows
• Define and run data quality critical metrics and SLAs aligned to business impact (e.g., completeness, accuracy, timeliness, consistency).
• Provide executivelevel insight into persistent, highrisk, or unresolved data quality issues through dashboards and reporting.
• Use data quality metrics and trends to drive continuous improvement initiatives, not just reporting.

Strategic Traceability & Enterprise Alignment

• Align work execution to Novelis92 enterprise strategic data outcomes including trusted data, operational reliability, metal flow optimization, 330 sustainability goals, and cash focus/operational efficiency.
• Support the enterprise Data & AI Governance framework, ensuring governance is embedded into all workflows and results.
• Contribute to quarterly planning, feature scoping, and sprint execution aligned to the enterprise delivery roadmap and critical metric framework.

Accountability Boundaries

IT is responsible for the data management platforms and their engineering; business partners are responsible for the policies, standards, stewardship decisions, and business rules that run on top of them. This role does not define data standards, policies, or business rules (business responsibility), approve or reject records in stewardship queues (business data owners), fix incorrect source data in SAP, CRM, or other systems (source system owners), or own data pipelines, ingestion, warehouse engineering, analytics models, dashboards, or AI systems.

Minimum Qualifications

• Bachelor92s degree in Computer Science, Information Systems, Data Management, or a related technical field.
• 5+ years of experience as a technical product owner or functionaltechnical lead for a data quality platform
• 3+ years of handson experience configuring, operating, and enhancing enterprise data quality platforms, including rule definition, profiling, scoring, alerting, and issuerouting workflows.
• Demonstrated solid experience working with enterprise data quality or data management tools, such as Informatica IDMC Data Quality.
• Strong working knowledge of data quality dimensions (accuracy, completeness, consistency, timeliness) and how to operationalize them through rules, metrics, thresholds, and SLAs.
• Demonstrable experience establishing and operating endtoend data quality issue management, including issue assignment, remediation tracking, and closure in partnership with Data Stewards and Data Owners.
• Experience partnering with Data Engineering, MDM, and Data Governance teams to embed data quality controls earlier in the data lifecycle.
• Experience driving businessled data quality stewardship, including onboarding Data Stewards and Data Owners and embedding remediation into operational workflows.
• Effective communication skills, with the ability to explain data quality issues, trends, and impacts to both technical and business partners.

Preferred Qualifications

• Informatica Cloud Data Quality Certification (CDQ) or Advance Cloud Data Management Certification
• Master92s degree or certifications such as Certified Data Management Professional (CDMP) or equivalent.
• Experience in manufacturing, industrial, or sustainability-focused organizations.
• Familiarity with privacy regulations (e.g., GDPR) and enterprise data architecture frameworks.
• Familiarity with enterprise data lake or Lakehouse architectures (e.g., Databricks, Fabric) and how data quality controls apply across ingestion, curation, and analytics layers.

Please note that we are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without the need for current or future sponsorship

What We Offer:

Novelis' benefits say a lot about how we care for each other. Our employees and their families have many different needs. As a result, our benefits offer choices on many levels and are high in quality, driven by the marketplace, and affordable. In addition to core benefits, we provide these unique to the industry benefits:

• Family Growth Programs: Paid parental Leave, Adoption Assistance, Fertility Treatment, Childcare Discount and Nursing Mom Support
• Employee Assistance Programs: free resources available 24/7 to you and your family in the areas of mental health, family life, and career and financial guidance
• Wellness Programs: incentives for wellness activities, wellness spending account, programs for building healthy habits, virtual physical therapy for joint, back, and pelvic health, health management programs and more.
• Diabetes Management Program
• Pet insurance
• Identity Theft Protection
• PerkSpot Discount Program
• Tuition assistance and career development programs!

3LI- AC1

3LI- Hybrid

Novelis92 Global Corporate and North America Headquarters is located in the Buckhead neighborhood of Atlanta GA employing around 700 people. Supporting it92s 31 operations worldwide Novelis92 corporate office is home to the executive leadership team and global functions that support the automotive beverage can and high-end specialties value streams. The City of Atlanta provides a diverse and family-friendly place to live with countless museums cultural organizations and educational institutions including the Georgia Aquarium Woodruff Arts Center CNN Center Georgia Tech and Mercedes-Benz Stadium. In the Atlanta area Novelis has strong community partnerships with Atlanta Habitat for Humanity GeorgiaFIRST and Agape Youth and Family Center in addition to many local museums and community groups.