Analytics Product Owner

Job Description At Cambria, the Analytics Product Owner treats data as the product. You define the what and the why behind everything our Go-to-Market Analytics Pod ships — from customer-facing recommendation engines to executive dashboards to churn models. You'll own the roadmap for Sales and Marketing analytics, set scope, shape schedules, and run the Agile cadence that turns ambitious ideas into shipped products. Data scientists, data engineers, and BI partners will look to you to clear the path, surface risks, and make the call when priorities collide. This role lives at the intersection of business, engineering, and data science. You'll translate fluently between all three, bring structure to ambiguity, protect your team's focus, and communicate with clarity that moves work forward. This is an on-site position. Applicants must reside in the Twin Cities area. We are unable to offer relocation assistance or sponsorship for this role. What You’ll Do Build and deliver program roadmaps in partnership with Data Science, Data Engineering, Marketing, Finance, and Research. Manage the backlog, broker trade-offs, and keep stakeholders aligned. Identify dependencies before they become blockers. Handle communication across the organization. What We’re Looking For A proven program manager with the technical depth to lead complex analytics and data-product delivery on bold timelines. Strong business instincts, a talent for prioritization under pressure, integrity, curiosity, and humility to keep learning. Above all, a great teammate. Essential Duties & Responsibilities Own the roadmap. Define strategy for our analytics products and prioritize by business impact, technical feasibility, and user need. Translate ambiguity into action. Turn vague business questions into well-scoped initiatives with clear requirements and weigh trade-offs of impact, cost, resourcing, timeline, and risk. Run the cadence. Lead the Jira-based Agile prioritization process across each vertical. Manage the backlog and keep the work moving. Partner across the company. Work shoulder-to-shoulder with data scientists, engineers, and market research leaders, building trusted relationships with stakeholders across the business. Stay close to users. Talk to the people who consume our data and ensure what we ship is intuitive and actionable. Oversee the lifecycle. From ingestion and transformation through visualization, be responsible for the product end-to-end. Track what matters. Own the workload and performance metrics for Analytics Leadership and build products to measure them. Drive day-to-day operations. Coordinate teams, track progress, adapt plans, and run regular reviews with teammates, partners, and executive sponsors. What you’ll bring Program management chops. Significant experience leading technical programs in analytics, data engineering, or cloud-based software development — from feature definition through deployment, using tools like Jira. Agile fluency. Track record setting up and leading Agile development with SAFe, Scrum, Kanban, or XP. Comfortable running cross-functional squads and prioritizing roadmaps with KPI/OKR methodology. Technical grounding. Familiarity with analytics architecture, databases, and build-and-release processes sufficient to ask the right questions and make the right calls. Sharp judgment. Creative problem solver who weighs trade-offs with data and anecdotes, influences without authority, and owns the hard calls when ideas collide. Built for ambiguity. Comfortable working outside your area of expertise, performing business discovery, simplifying problems, extracting what matters, and proposing solutions. Strong communication. Excellent written and verbal skills across every level of the organization. Able to filter and distill for the right audience. Right values. Ownership, customer focus, collaboration, integrity, inquisitive by nature, with appetite for learning. Background in data science, machine learning, data engineering or BI is a plus. Minimum Requirements Experience: 4+ years in Product Management, Data Analytics, or Management Consulting. Systems: Jira, Confluence, Snowflake, BI tooling (Sigma, Tableau, DOMO, Power BI, etc.). Bachelor's Degree preferred. Physical Requirements Able to lift up to 20 pounds occasionally. May need to bend, reach, walk, or stoop occasionally. Prolonged periods sitting at a desk and working on a computer. Travel Requirements Regular travel between local Cambria locations. Salary and Benefits Cambria’s starting salary range for this position is $100,000 - $134,000. Benefits include Health and Dental Insurance, Paid Time Off, 7 paid Holidays, 401(k) plus matching, Discretionary Profit Sharing, Flexible Spending Account; Life, Supplemental Life, and Disability Insurance; Referral Program, Tuition Reimbursement, Employee Assistance Program, Employee Discount, and Professional Development Assistance. An offer of employment is contingent upon the successful completion of a background verification check, subject to applicable laws and regulations. The results will be reviewed based on the individual's record, and the specific duties and requirements of the job. #J-18808-Ljbffr Cambria