Sr Data Analyst, Data AI Analytics

Position Title: Sr Data Analyst, Data AI Analytics
Position Type: Regular - Full-Time
Requisition ID: 39626
We know the importance that food plays in people's lives - the power it has to bring people, families and communities together. Our purpose is to bring enjoyment to people's lives through great tasting food, in a way which reflects our values. McCain has recently committed to implementing regenerative agriculture practices across 100 percent of our potato acreage by 2030. Ask us more about our commitment to sustainability.
OVERVIEW
As part of McCain digital transformation, we are making significant investments into our data structures and policies to increase the quality of our data, the confidence of our business teams to use this data to make decisions, and to drive value through the use of data.
We have an ambitious Global Data Governance team, which serves as an enabler to the business teams in our regions and global functions. We are currently recruiting an experienced data governance professional.
JOB PURPOSE
The Data Governance Specialist will follow global processes and leverage global tools to govern data in a way that is consistent and standardized across all regions. As a member of the Data and Platform Governance team, the individual will implement and maintain data quality strategies, including enforcement of policies, guidelines, and standards. This role will be responsible for driving data quality; creating reports/metrics to ascertain data quality and integrity; research, analysis and root cause identification of data errors and providing key design input for application functionality.
JOB RESPONSIBILITIES

• Establish and maintain data quality frameworks, including setting standards for accuracy, completeness, consistency, timeliness, and validity of data across the enterprise.
• Perform regular data profiling, cleansing, and monitoring using dedicated data quality tools. This includes identifying data issues, root-cause analysis, and driving remediation activities.
• Collaborate with business and technical teams to define quality metrics, KPIs, and data validation processes, ensuring data supports business and compliance needs.
• Document business rules, validation logic, and exception handling procedures for all critical datasets.
• Serve as a liaison between data owners, stewards, IT, and business units to facilitate data issue resolution, clarify catalog entries, and prioritize governance initiatives.
• Develop and deliver regular reports on data quality metrics, catalog coverage, and compliance status.
• Maintain and manage enterprise data catalog and data lineage to reflect system enhancements, new sources, and changes in business terminology or technical architecture.
• Use Data Lineage to identify all data transfers within the business units, legal entities, and third parties
• Implement tools and practices to standardize metadata capture, documentation, and maintenance, thereby supporting discoverability and lineage tracking.
• Support the implementation of data management, data governance, and data quality tools/platforms
• Identify downstream impacts of master data change.

KEY QUALIFICATION & EXPERIENCES:

• Bachelor's degree in Management Information Systems, Computer Science, Information Technology, or related field.
• Minimum of 7 years of experience with data management/governance, including but not limited to data protection and/or data quality
• Solid understanding of metadata standards, lineage tracking, and data classification.
• Strong ability to write and optimize SQL queries or Python scripts for data profiling, validation, and analysis.
• Experience working with data owners, stewards, IT, and cross-functional business teams
• Experience harmonizing systems, processes, and/or data across business areas and functions
• Experience developing and implementing data governance policies and standards
• Experience working on an agile team in a virtual, distributed environment
• Ability to work in a fast-paced environment and participate as an independent contributor with little supervision
• Experience establishing metrics/key performance indicators to measure business impact and process compliance
• Familiarity with DAMA-DMBOK, DCAM, or similar frameworks.
• Preferred: Understanding of CPG industry specifics - product hierarchies, SKU proliferation, and regulatory data requirements.
• Preferred: Proficiency with any of the Data Quality industry leader platforms like Informatica DQ, Talend, Ataccama, or IBM InfoSphere.
• Preferred: Experience with tools such as Collibra, Alation, Informatica EDC, Microsoft Purview, or Apache Atlas.

McCain Foods is an equal opportunity employer. As a global family-owned company, we strive to be the employer of choice in the diverse communities around the world in which we live and work. We recognize that inclusion drives our creativity, resilience, and success and makes our business stronger. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, veteran status, disability, or any other protected characteristic under applicable law.
McCain is an accessible employer. If you require an accommodation throughout the recruitment process (including alternate formats of materials or accessible meeting rooms), please let us know and we will work with you to find appropriate solutions.
Your privacy is important to us. By submitting personal data or information to us, you agree this will be handled in accordance with McCain's Global Privacy Policy and Global Employee Privacy Policy , as applicable. You can understand how your personal information is being handled here .
Job Family: Information Technology
Division: Global Digital Technology
Department: Global Data Governance
Location(s): IN - India : Haryana : Gurgaon
Company: McCain Foods(India) P Ltd