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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Manager, Data Platform & Decision Support - **Company:** Jack Link's - **Location:** Minneapolis, MN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Information Systems, Information Engineering, Data Infrastructure, Decision Support Systems, Scrum Methodology, Snowflake, Prompt Engineering, Microsoft Fabric, Information Technology, Data Management, Databricks - **Published:** August 5, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/sr-manager-data-platform-and-decision-support-minneapolis-mn-usa-58835799 ## About the Role and * Partner with Commercial and SCOPs stakeholders to translate business needs into products * Lead, coach, and grow the Product Owner and Developer team; coordinate managed-services partners * Collaborate with Scrum Master/PM to steer delivery and clear blockers Tasks * Bachelor's degree in Computer Science, Data / Analytics, Engineering, Information Systems, or related field or equivalent practical experience * 10+ years in data engineering, analytics, or data-platform delivery * 33+ years of experience as a people manager, leading high-performing analytics teams * Strong data engineering background with semantic/business-layer modeling and decision support * Experience leading analytics data platforms (Databricks, Microsoft Fabric, Snowflake) * Experience leading analytics product delivery, primarily BI * Product leadership experience with agile delivery and roadmap planning * Experience leading teams of Product Owners and Developers * Willingness to be hands-on (player-coach); aa data business-facing experience in Commercial/SCOPs * Interest in AI and automation tooling for BI analytics and decision support * Interest or experience in prompt engineering for technical and business stakeholders Key requirements * medical, dental and vision benefits * life and disability insurance * 401k participation * paid holidays * paid time off * bonus or incentive programs ## Description Experteer Overview In this role you lead the Data Platform & Decision Support pillar, shaping the analytics platform and BI delivery to empower the business. You guide cross-functional pods serving Commercial and SCOPs, while partnering with architects and engineers to improve performance and usability. You actively contribute hands-on when needed and drive AI/automation to accelerate analytics and decision support. This is a chance to influence data-driven decisions at scale within a fast-paced, mission-driven meat-snacks company. Compensation / Benefits * Own the analytics data platform: reliability, performance, usability, and cost * Set data engineering and modeling standards with emphasis on semantic/business-layer modeling * Lead end-to-end analytics product delivery (BI/decision support) and manage product roadmap * Hands-on engineering contribution when required and design/review semantic models * Champion AI and automation tools to enhance analytics development and BI insights * Partner with Commercial and SCOPs stakeholders to translate business needs into products * Lead, coach, and grow the Product Owner and Developer team; coordinate managed-services partners * Collaborate with Scrum Master/PM to steer delivery and clear blockers Tasks * Bachelor's degree in Computer Science, Data / Analytics, Engineering, Information Systems, or related field or equivalent practical experience * 10+ years in data engineering, analytics, or data-platform delivery * 33+ years of experience as a people manager, leading high-performing analytics teams * Strong data engineering background with semantic/business-layer modeling and decision support * Experience leading analytics data platforms (Databricks, Microsoft Fabric, Snowflake) * Experience leading analytics product delivery, primarily BI * Product leadership experience with agile delivery and roadmap planning * Experience leading teams of Product Owners and Developers * Willingness to be hands-on (player-coach); strong business-facing experience in Commercial/SCOPs * Interest in AI and automation tooling for BI analytics and decision support * Interest or experience in prompt engineering for technical and business stakeholders Key requirements * medical, dental and vision benefits * life and disability insurance * 401k participation * paid holidays * paid time off * bonus or incentive programs ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)