Lead D&T Analyst – AI & Automation
GenmillsCOMPANY 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 (D&T) India, is seeking a Lead Analyst, to join the AI and Automation team. The AIA Activation team serves as the bridge between identifying AI use cases to enabling value through business adoption. The AI & Automation team is seeking a Lead AIA Analyst to shepherd General Mills’ AI journey into agent-based (agentic) capabilities — planning, delivering, and governing our enterprise AI platforms, custom AI agents, and the processes that support them. This highly visible role will partner with business and D&T stakeholders to identify and execute high‑value AI use cases, then create, manage, and sustain the expansion of generative and agent-based capabilities across the enterprise, working closely with other D&T AI initiatives to shape the overall AI user experience
KEY ACCOUNTABILITIES
Partner with functional domain stakeholders to identify, assess, and prioritize high-value AI and agentic AI use cases.
Lead discovery and opportunity assessment efforts to determine where AI can improve decision-making, process efficiency, service levels, productivity, and user experience.
Translate business problems into clear analytical, technical, and delivery requirements for AI solutions, agents, and supporting workflows.
Lead planning and implementation of AI and automation initiatives, including pilots, proofs of value, and scaled deployments.
Collaborate with business teams, product teams, data scientists, engineers, and platform partners to design and deliver Supply Chain AI capabilities.
Support development of domain-specific agents and workflows that augment functional domain processes and enable better human decision-making.
Evaluate existing functional domain processes, data, and pain points to determine where agentic AI can be responsibly and effectively applied.
Facilitate workshops and working sessions with stakeholders to educate teams on AI possibilities, assess readiness, and define business value.
Help establish and sustain governance processes for functional domain AI use cases, including risk management, user acceptance, monitoring, and continuous improvement.
Ensure activation work follows established responsible AI, governance, risk, and documentation practices in partnership with the relevant teams.
Contribute to development of best practices, playbooks, enablement assets, KPIs, and operating processes that strengthen activation capabilities across the Agentic AI office.
Translate the learnings from the engagement to reusable consumable form for other areas to benefit from it.
Support the intake, build, publish of the agents are in accordance to the defined frameworks by the AI Office.
Monitor solution performance, user feedback, and business outcomes, then make recommendations for optimization and broader adoption.
Analyze, present, and report on key performance indicators, value realization, and overall initiative progress to business and D&T leaders.
Partner to evaluate the technological releases including platform, services, models etc. within the Agentic AI space and document the recommendations.
Work closely with the vendor partners as required to influence the prioritization of required features / fixes.
Monitor feedback and insights, collaborating with Agent Authors to assess program effectiveness and make recommendations for optimization and improvement.
Manage the agent publishing lifecycle, including user acceptance testing and acting as the first line of triage for agents.
Monitor adoption, usage, performance, and user feedback for deployed capabilities, and help drive iterations that improve business impact and user experience over time.
Foster a culture of experimentation, practical learning, collaboration, and continuous improvement within the team.
MINIMUM QUALIFICATIONS
Bachelor's in technology /engineering/science in a related field is required.
Minimum years of related experience required: 2+ years in AI, analytics, automation, digital product activation, data science, or related technical delivery roles, including experience leading projects or small teams.
Overall industry experience: 10+ years preferred Total analytics experience required 5-6 Years.
Experience activating AI, automation, analytics, or digital capabilities from pilot or proof of concept into business adoption.
Demonstrated ability to partner with stakeholders to define business problems, translate needs into delivery plans, and drive measurable outcomes.
Strong communication and storytelling skills with the ability to explain AI concepts, rollout implications, and recommendations to non-technical audiences.
Working knowledge of AI governance, responsible AI practices, documentation expectations, and production monitoring disciplines.
Ability to operate effectively in an environment with global partners and cross-functional D&T teams.
Technical Skillset - AI / Automation Activation, Adoption & Change Management, Use Case Framing / Business Translation, KPI Tracking / Value Realization.
Responsible for AI, Security, Governance, Process Design, Workflow Mapping, Visualization / Storytelling, Agile Delivery / Backlog Management, Data Intuition, Analytics, Cloud Platform literacy.
Strong understanding of AI and automation activation in at least one business or functional domain.
Aware of adjacent DNA capabilities and knows when to engage experts from other domains.
Creates stories and translates needs into executable work.
Helps manage team backlog and delivery priorities.
Supports creation and management of feature or activation roadmaps with manager guidance.
Demonstrates learning agility and applies new ideas to improve work.
Adopts and scales practical innovations that improve AI activation and business adoption.
Contributes to playbooks, standards, and ways of working across the activation community.
PREFERRED QUALIFICATIONS
Preferred Major Area of Study: Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or related field.
Experience with GenAI and LLM-enabled workflows is preferred.
ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.