Sr Manager, Data Platform & Decision Support

Jack Link's
Minneapolis, MN, United States
29 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Information Systems Information Engineering Data Infrastructure Decision Support Systems Scrum Methodology Snowflake Prompt Engineering Microsoft Fabric Information Technology Data Management
+1 more
Databricks

Job 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

Requirements

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

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