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Marketing Analytics Director

Job in Arden Hills, Ramsey County, Minnesota, USA
Listing for: Land O'Lakes, Inc.
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Science Manager, Data Analyst
Salary/Wage Range or Industry Benchmark: 163520 - 245280 USD Yearly USD 163520.00 245280.00 YEAR
Job Description & How to Apply Below

Marketing Analytics Director

Role located at our Corporate Office in Arden Hills, MN. Hybrid work environment: 3 in‑office days (Tue/Wed/Thu) and 2 remote days (Mon/Fri). Full remote not offered.

Key Responsibilities
  • Measurement Vision, Strategy & Governance:
    Own the enterprise vision for marketing measurement, balancing short‑term ROI, long‑term brand building, and learning. Establish and govern measurement standards, operating principles, and decision frameworks used across brands and channels. Define measurement questions that matter at the enterprise level and ensure consistency across brands while allowing flexibility.
  • Business Integration & Executive Partnership:
    Act as a strategic thought partner to senior marketing, finance, and business leaders on investment decisions. Frame measurement insights in the context of trade‑offs, opportunity cost, and risk. Simplify complex data, analytics, and insights into clear storytelling to drive decisions. Guide the measurement POV in annual planning, execution, and multi‑year growth discussions.
  • People & Leadership Development:
    Lead and develop talent across measurement and analytics roles. Build a strong bench of leaders who can independently drive measurement strategy. Create clarity of roles, decision rights, and accountability. Coach leaders on enterprise thinking and analytical rigor.
  • Advanced Measurement Portfolio (MMM, Causal, Incrementality):
    Provide leadership oversight for MMM, econometric, and causal measurement strategies. Set expectations for how different methods are used, combined, and interpreted. Decide when advanced analytics are worth the investment and coach stakeholders to elevate outputs that inform planning, optimization, and budget decisions.
  • Mar Tech, Measurement Innovation & Future Readiness:
    Bring a forward‑looking, marketing‑led perspective on the application of marketing technology. Serve as a key marketing liaison for marketing technology, partnering with IT to ensure applications and platforms are integrated and scalable. Set the innovation agenda for measurement, including AI, automation, and predictive approaches. Position the organization for future measurement challenges such as privacy and channel fragmentation.
  • Systems, Scale & Operating Model:
    Leverage data and analytics expertise to build and define measurement systems and workflows that scale across brands and teams. Partner with marketing, IT, agencies, and finance teams to reduce fragmentation. Build a sustainable measurement operating cadence and ensure capability keeps pace with marketing complexity and speed.
What Success Looks Like

Marketing leaders make faster, more confident investment decisions. Measurement is viewed as a strategic asset, not a reporting function. Fewer, better questions drive learning and action. Advanced analytics are trusted and understood. Measurement capability scales without dependency on a single role.

Required Experience & Capabilities
  • 15+ years in marketing measurement, analytics leadership, or performance strategy.
  • Demonstrated experience influencing executive decision‑making.
  • Strong understanding of brand and performance measurement trade‑offs.
  • Experience operating in complex, matrixed, multi‑brand environments.
  • Ability to lead through context, alignment, and prioritization rather than direct control.
Compensation

Salary range: $163,520 - $245,280. In most cases, candidates offered employment can expect to be hired at a pay rate near the middle of our salary ranges.

Equal Employment Opportunity

Land O'Lakes and our global entities support diversity in employment practices. Land O'Lakes does not use Automated Decision‑Making Technology to substantially replace human decision‑making or make significant decisions about applications for employment.

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