Lead D&T Analyst – AI & Automation

General Mills, Inc.; Mumbai; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

General Mills의 디지털 및 기술 부문이 인도 뭄바이에서 Lead Analyst, AIA Activation를 모집합니다. 이 직무는 AI와 자동화 팀과 협력하여 엔터프라이즈 AI 플랫폼, 에이전트 기반 솔루션의 계획, 제공 및 거버넌스를 주도합니다. 비즈니스 adopton을 위한 고가치 AI 사용 사례를 발굴하고 확장 로드맵을 관리합니다.

도메인별 데이터, 파이프라인, 엔지니어링 팀과의 협업을 통해 공급망 AI 역량을 설계하고 구현합니다. 글로벌 파트너와의 협업 환경에서 실행력과 커뮤니케이션 능력을 발휘해 실질적 비즈니스 효과를 이끌어냅니다.

Qualifications

• AI, analytics, automation, 디지털 제품 활성화 분야에서 2년 이상 관련 경력 필수.
• 정량적 역량 보유와 이해관계자와의 협업 경험 필요.
• 글로벌 파트너와 교차 기능 팀과의 협업 능력 필수.

Responsibilities

• 가치 높은 AI 및 에이전트 AI 사용 사례를 식별하고 우선 순위화합니다.
• AI 솔루션의 요구사항을 분석하고 실행 로드맵으로 번역합니다.
• AI 활성화 계획 수립 및 파일럿/확장 배포를 주도합니다.
• 도메인 팀과 협력하여 공급망 AI 역량 설계 및 제공을 주도합니다.
• 거버넌스, 위험 관리, 모니터링 및 지속적 개선을 위한 프로세스를 확립합니다.

Skills

AI Activation

Change Management

Use Case Framing

KPI Tracking

Governance

Workflow Mapping

Storytelling

Agile Delivery

Data Analytics

Cloud Platform

Education

Bachelor's in Technology

Tools

AI/Automation Tools

Data Platforms

Job description

회사 개요 우리는 전 세계가 사랑하는 식품을 만들기 위해 존재합니다. 하지만 우리는 그 이상을 합니다. 우리 회사는 선한 영향력을 발휘하는 것을 최우선으로 하는 곳이며, 매일매일 배움을 확장하고 새로운 시각을 탐구하며 새로운 가능성을 재창조하는 공간입니다. 우리는 서로에게 도전하고 성장할 수 있는 대담한 사고를 가진 인재, 즉 최선을 다할 수 있는 인재를 찾습니다. 식품 분야의 확고한 리더가 되기 위해, 우리는 끊임없이 다음을 향해 도전하는 사람들과 함께합니다.

OVERVIEW

The Digital and Technology India, is seeking a Lead Analyst, AIA Activation 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 team.
• 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 / bachelor's in science in a related field is required;
• Preferably in Business, Finance, Economics, Applied Math or related fields with quantitative training
• 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.

자격 요건 지원자는 해당 직무가 위치한 국가의 최소 연령 요건을 충족해야 합니다.

새로운 가능성. 대담한 사고. 진실된 마음. 탁월한 사람들과 함께 탁월한 브랜드를 만듭니다. General Mills는 전 세계가 사랑하는 식품을 만듭니다. 100여 개 시장에 걸쳐서 우리는 힘을 합쳐 새로운 제품을 개발하고, 혁신을 주도하며, 함께 성장해 나갑니다. 이곳에서 여러분은 선의를 추구하는 기업에서 의미 있는 일을 하며 식품 산업의 미래를 이끌어 나갈 수 있습니다.