Manager – Data Tools

Job description

**Company Overview** We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next. **Overview** The Digital and Technology Manager – Global Data Governance Services is responsible for defining and driving the global data governance technology roadmap, with a strong focus on data cataloging, lineage, analytics enablement, and AI readiness. The role serves as a technical leader and connector across enterprise teams, ensuring governance platforms, data flows, and integrations are scalable, compliant, and aligned to General Mills’ digital transformation strategy. **Key Responsibilities** - Define and manage the roadmap for data governance platforms (e.g., Collibra, Alation). - Lead enterprise data lineage strategy, including source integration, gap identification, storage, and visualization. - Govern catalog compliance programs, platform configuration, upgrades, and enhancements. - Partner with business and technology stakeholders to translate governance needs into scalable tooling solutions. - Identify and enable AI/GenAI readiness across Master Data and Data Governance domains. - Mentor teams on governance practices, AI use-case identification, and technical best practices. **Minimum Qualifications** - Education: : Bachelor’s degree in information technology, Engineering, or a related field. - Experience: : 15+ years of relevant experience. - Strong expertise in data governance, data cataloging, data lineage, and analytics platforms. - Proficiency in SQL, data catalog tools (Alation), cloud data platforms (GCP preferred), and data lineage solutions. - Experience with Collibra, data quality tools, Python, visualization tools, and enterprise integrations. - Proven ability to influence across large organizations, lead complex initiatives, and drive change in ambiguous environments. - Exposure to AI/GenAI adoption, master data management, SAP/non-SAP ecosystems, and retail domain processes preferred. **Preferred Qualifications** - Experience with enterprise data governance tools such as Collibra and Alation. - Exposure to data lineage, metadata management, and data quality frameworks in large-scale environments. - Experience working with cloud data platforms, preferably GCP - Familiarity with Python, visualization tools, and enterprise data integrations. - Exposure to AI/GenAI use cases, master data management, and governance readiness initiatives. - Experience working across SAP and non-SAP ecosystems, preferably in a retail or consumer goods environment. **ELIGIBILITY** Applicants must meet minimum age qualifications in the country in which the job is located.