Sr Product Owner

Jack Link's Protein Snacks•Minneapolis, MN

5d•Hybrid

About The Position

At Link Snacks, we are building an analytics capability that transforms how the business operates—enabling insights at scale and driving measurable impact across our supply chain and manufacturing network. As a Sr. Product Owner, you will own the strategy, roadmap, and execution for BI and analytics products across the SCOPs, Manufacturing, and IBP domains. This role spans the entire product lifecycle—from discovery and prioritization to delivery, adoption, and continuous improvement. A key focus area is defining and delivering high-value dashboards and self-service analytics that support demand and supply planning, the S&OP / IBP cycle, manufacturing performance, inventory, logistics, and procurement. You'll work closely with supply chain, manufacturing, and planning leaders, business relationship managers, and subject matter experts (SMEs) to develop and execute the vision and roadmap for analytics products. While your primary responsibility is product leadership, you will also roll up your sleeves to direct or perform BI development, including importing and transforming data, enhancing semantic models, building and deploying Power BI visualizations, and implementing security and access controls. This role will initially focus on BI development (approximately 75%) and will evolve over time to a balanced mix of product leadership and technical delivery. This role is supported by a strong ecosystem of experts, including business relationship managers, data engineers, data architects, BI developers, data scientists, and platform specialists who enable reporting and analytics product development. You'll lead the vision and orchestrate these resources to deliver solutions that drive business impact.

Requirements

Bachelor’s degree in Information Technology.
7+ years of experience in BI/Analytics product ownership and product management, leading complex, cross-functional initiatives from strategy through execution.
Proven track record of managing multiple products or domains, mentoring other product owners, and driving strategic initiatives.
Strong technical depth (Power BI, data modeling, governance) and ability to strategically influence BI and Analytics product strategy.
Hands-on experience leading enterprise BI/analytics products with measurable adoption and impact.
Business-facing experience in supply chain, manufacturing, and/or integrated business planning – or a strong desire and aptitude to learn these domains.
Designing product briefs, MVPs, and outcome-based roadmaps.
Proven experience managing product roadmaps, backlogs, and user stories in an agile environment.
Ability to work closely with supply chain, manufacturing, and planning leaders, relationship managers, and SMEs to translate business needs into actionable requirements.
Hands-on ability to develop dashboards, including import and transform data, enhance semantic models, build and deploy dashboards, and implement row-level security and access controls.
Solid understanding of relational and dimensional modeling (star/snowflake schemas) and performance optimization for BI solutions.
Proficiency in DAX and SQL for building measures, queries, and optimizing data models.
Knowledge of data quality standards, metadata management, and security best practices.
Ability to partner effectively with data engineers, architects, BI developers, and platform teams.
Strong verbal and written communication skills to align diverse stakeholders and drive adoption.
Experience with Jira, Azure DevOps, and other agile tools for backlog management and release tracking.

Nice To Haves

Hands-on experience with Power BI.
Familiarity with enterprise data platforms such as Microsoft Fabric, Azure Data Services, and SAP Datasphere / S/4HANA.
Familiarity with Lakehouse platforms and architecture such as Fabric, Snowflake, Databricks and/or GCP.
Familiarity with supply chain and IBP planning platforms such as SAP IBP, Kinaxis, o9, or Blue Yonder, and with manufacturing systems (MES / ERP).
Understanding of S&OP / IBP processes and key metrics (forecast accuracy, service level, inventory, OEE).
Familiarity with predictive modeling and the integration of AI-driven insights into BI products (e.g., demand forecasting, supply and inventory optimization).
Ability to collaborate with data scientists on preparing and structuring data for advanced analytics use cases.
Awareness of or experience leveraging AI/ML for process automation, anomaly detection, and decision support.
Awareness of or experience leveraging generative AI applications in analytics (e.g., natural language query, automated insights) and willingness to explore innovative solutions.

Responsibilities

Define and maintain a clear vision for BI and analytics products across SCOPs, Manufacturing, and IBP.
Develop and manage a roadmap that translates supply chain, manufacturing, and planning goals into actionable user stories and priorities.
Work closely with supply chain, manufacturing, and IBP / planning leaders, relationship managers, and SMEs to identify, define, and prioritize analytics solutions that deliver measurable business impact.
Convert business needs into requirements and user stories.
Manage backlog and spring planning.
Act as a liaison between stakeholders and technical teams to ensure alignment.
Partner with data engineers and architects to ensure products are scalable, reliable, and secure.
Enforce data quality standards and oversee documentation and metadata for transparency.
Translate complex supply chain, manufacturing, and planning data challenges into user-centric solutions.
Balance short-term priorities with long-term vision.
Perform hands-on BI development when needed (data import/transform, semantic model enhancement, Power BI dashboards, security and access controls).
Champion user experience through training and enablement.
Monitor product health (usage, satisfaction, decision impact) and iterate based on insights.
Own the end-to-end product lifecycle from discovery through delivery, adoption, and continuous improvement.
Own strategic initiatives that advance analytics maturity and business impact across the supply chain and manufacturing network.
Develop and manage a consolidated roadmap across several product owners, ensuring alignment with enterprise priorities.
Coach and guide other product owners on best practices, backlog management, and delivery standards.
Track and report on overall product portfolio performance, focusing on business impact and measurable outcomes.
Ensure consistency and governance across multiple BI and analytics solutions.
Perform other duties as assigned.