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Cargill
Cargill

Multinational food company.

Sr. Product Manager, Analytics Platforms

직무프로덕트
경력시니어급
위치Wayzata, Minnesota, United States
근무오피스 출근
고용정규직
게시1주 전
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Cargill is committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. Sitting at the heart of the supply chain, we partner with farmers and customers to source, make and deliver products that are vital for living.
Our 155,000 team members innovate with purpose, providing customers with life’s essentials so businesses can grow, communities prosper, and consumers live well. With over 160 years of experience as a family company, we look ahead while remaining true to our values. We put people first. We reach higher. We do the right thing—today and for generations to come.

Job Purpose and Impact

The Sr Product Manager – Analytics Tools serves as the strategic and execution lead for enterprise analytics platforms including Power BI, Tableau, and KNIME, supporting a community of over 60,000 analytics consumers across business units and functions. This role blends Product Management and Product Owner responsibilities, owning platform vision, roadmap, and outcomes while also driving backlog prioritization and delivery in close partnership with platform engineering, data engineering, governance, and federated analytics teams.

The role focuses on making high-quality, governed, and scalable analytics the path of least resistance, balancing user experience, governance, cost, risk, and enterprise standards in a highly federated data and analytics environment.

Key Accountabilities

Product Strategy & Vision

  • Own the product vision and strategy for enterprise analytics tools (Power BI, Tableau, KNIME) aligned to business outcomes, analytics maturity, and enterprise D&A strategy.
  • Define and maintain a multi-year product roadmap that balances innovation, scalability, governance, cost optimization, and user enablement.
  • Serve as the primary point of accountability for platform success, adoption, and value realization.

Product Ownership & Delivery

  • Act as Product Owner for analytics platform capabilities, including: writing and refining epics, features, and user stories while managing and prioritizing the product backlog
  • Accepting delivered functionality based on defined outcomes
  • Partner closely with platform engineering, automation, and data teams to ensure timely and high-quality delivery.
  • Drive clear trade-offs and prioritization decisions based on impact, risk, and enterprise value.

Governance, Standards & Enablement

  • Partner with Analytics Governance leads to embed standards, guardrails, and compliance into platform capabilities rather than relying on manual oversight.
  • Enable federated teams through certified patterns, templates, metadata, and reusable assets.
  • Ensure analytics platforms support privacy, security, regulatory, and enterprise risk requirements.

Stakeholder & Community Engagement

  • Actively engage analytics communities of practice to gather feedback, surface pain points, and drive adoption.
  • Communicate roadmap, priorities, and changes clearly to a large and diverse user base.

Adoption, Metrics & Continuous Improvement

  • Define and track success metrics such as adoption, usage patterns, performance, cost efficiency, and governance compliance.
  • Use platform usage insights and metadata to inform roadmap decisions and identify optimization opportunities.
  • Continuously evolve platform capabilities to support emerging needs, including GenAI-assisted analytics and new ways of working.

Qualifications

  • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.
  • 5+ years of experience in Product Management, Product Ownership, Analytics Enablement, or Platform Management.
  • Experience supporting enterprise-scale analytics tools (Power BI, Tableau, KNIME, or similar).
  • Strong understanding of federated data and analytics operating models.
  • Proven ability to balance governance, user experience, and scalability in complex environments.
  • Excellent stakeholder management, communication, and prioritization skills.

Preferred Qualifications

  • Experience working within an Analytics COE or platform team.
  • Familiarity with data platforms (e.g., Snowflake, Hadoop) and semantic modeling concepts.
  • Experience enabling self-service analytics at scale.
  • Exposure to GenAI or AI-enabled analytics capabilities.
  • Agile / Scrum Product Owner certification or equivalent experience.

#Standard

Short Description

The expected salary for this position is $95,000-$160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: https://www.cargill.com/page/my-health/mh-health-and-wellness to learn more (subject to certain collective bargaining agreements for Union positions).

Equal Opportunity Employer, including Disability/Vet.

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Cargill 소개

Cargill

Cargill

Public

Multinational food company.

10,001+

직원 수

Minnetonka

본사 위치

$134B

기업 가치

리뷰

10개 리뷰

3.3

10개 리뷰

워라밸

3.5

보상

3.2

문화

3.8

커리어

3.5

경영진

2.8

65%

지인 추천률

장점

Good corporate culture and team environment

Good benefits and compensation

Safety emphasis and good work environment

단점

Management issues and high turnover

Non-competitive salary

High stress and overwhelming expectations

연봉 정보

268개 데이터

Junior/L3

M3

M4

M5

M6

Mid/L4

Senior/L5

Junior/L3 · Product Manager

0개 리포트

$50,521

총 연봉

기본급

-

주식

-

보너스

-

$42,943

$58,099

면접 후기

후기 2개

난이도

3.0

/ 5

소요 기간

14-28주

면접 과정

1

Application Review

2

HR Screen

3

Hiring Manager Interview

4

Panel Interview

5

Offer

자주 나오는 질문

Behavioral/STAR

Past Experience

Culture Fit

Technical Knowledge