Product Owner, AI & Business Intelligence

Ovative GroupMinneapolis, MN
18d$111,000 - $186,000

About The Position

About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. At Ovative, we don't just track data, we redefine success. How do we do it? Our proprietary MarTech platform, EMRge helps businesses transform marketing into a driver of sustainable growth. Powered by Enterprise Marketing Return (EMR), our differentiated approach to holistic media buying, planning, and measurement, EMRge is the first MarTech platform to measure businesses holistically. We're all about raising the bar every day, and it shows. Our work has been recognized by organizations like Digiday, Google, Inc. 5000, USA Today, and Search Engine Land. About the Role: Ovative’s AI Analytics Platform is designed to proactively analyze client data across EMRge and surface actionable insights and recommendations grounded in marketing subject-matter expertise. As Product Owner for this platform, you will be accountable for turning this vision into reality by driving clear, iterative, and scalable delivery. You will partner closely with, and report to, a Product Manager who owns product vision and strategy, while you focus on execution, sequencing, and day-to-day delivery decisions. In this role, you will deeply understand user problems, translate them into well-structured work, own the development team backlog, and make tradeoff decisions that enable teams to deliver high-impact outcomes each quarter. While prior experience with RAG-style or AI-driven analytics systems is preferred, your primary responsibility is to convert technical and domain understanding into a pragmatic execution plan, balancing scope, priorities, and constraints to maximize value. Working closely with Data Engineers and AI Engineers, you will guide the development of foundational platform capabilities that do not exist today (e.g., ingestion, indexing and vector search, semantic layers, and integrations), ensuring solutions are aligned to real user needs, are technically feasible, and can scale sustainably across clients and use cases.

Requirements

  • 6 - 8+ years of experience in product management, product ownership, business analysis, or a related role, with at least 2+ years focused on AI or data/analytics products.
  • Proven success delivering AI-powered solutions at scale, ideally in service delivery, customer experience, or digital transformation contexts.
  • Demonstrated experience partnering closely with engineering, data, and UX teams on technical and design topics (e.g., data pipelines, APIs, security, semantic layers, human-centered design).
  • Strong advocate of Agile methodologies (e.g. SAFe) and tools (e.g., Jira, Confluence), including backlog management, sprint planning, and iterative delivery.
  • Strong analytical, strategic thinking, and problem-solving skills, including comfort with cost–benefit analysis and ROI-oriented decision-making.
  • Excellent communication and stakeholder engagement abilities, including executive-level communication and the ability to translate technical details into clear business value.
  • Demonstrated ability to influence and align cross-functional teams, and to build community and engagement among power users and partners.
  • Experience with using product tools including Atlassian (Confluence, Jira), Microsoft Office, Tableau etc.

Nice To Haves

  • Background in Business Intelligence, Analytics, Data Science, or adjacent fields.
  • Experience with enterprise AI and data platforms (e.g., Databricks, cloud-native AI services) and/or conversational AI toolsets (e.g., Dialogflow, Azure OpenAI, or similar).
  • Hands-on experience building and shipping RAG-style or AI-driven analytics systems, including familiarity with retrieval, vector search, and evaluation patterns.
  • Exposure to recommendation systems, insight generation, or other applied AI use cases beyond Q&A

Responsibilities

  • Product Ownership Translate program-level features and objectives into well-formed user stories with clear acceptance criteria that reflect business value and technical constraints.
  • Work closely with engineers and analysts during iterations to clarify business and functional requirements and make timely decisions.
  • Own delivery-level tradeoff decisions (scope, sequencing, and technical constraints), escalating only when decisions materially impact product strategy or cross-platform alignment.
  • Accept or reject completed stories based on acceptance criteria and the team’s Definition of Done, ensuring that deliverables truly meet user needs.
  • Ensure alignment between team deliverables and program-level objectives and roadmap, raising risks and tradeoffs when needed.
  • Collaborate daily with the Scrum Lead to remove blockers, refine plans, and improve the team’s flow and ways of working.
  • Backlog Management & Delivery Own and prioritize the Backlog, sequencing product, client, and engineering work to maximize value within the team’s available capacity and technical constraints each sprint.
  • Lead sprint planning, refinement, and demos, partnering with engineering to break work into deliverable increments, clarify scope, and remove ambiguity and blockers so teams can reliably deliver what was committed to each iteration.
  • Define acceptance criteria and partner with the team on testing and validation to ensure features meet quality standards and client expectations.
  • Champion MVP thinking and iterative delivery, using experimentation and feedback loops to validate assumptions quickly and scale what works.
  • Stakeholder Management & Community Building Serve as the primary point of contact for the AI Analytics Platform with internal stakeholders.
  • Partner with Power Users, Client teams, and other cross-functional partners to understand needs, prioritize outcomes, and align on tradeoffs.
  • Build and nurture a community of power users and contributors, creating a collaborative environment for innovation and experimentation.
  • Communicate Program Increment (PI) progress and outcomes in clear, non-technical language tailored to executives, business stakeholders, and technical teams.
  • Enable teams through training, documentation, and change management, driving adoption and confident use of the AI solutions.

Benefits

  • Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential.
  • Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families.
  • We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit.
  • Access to all office spaces in MSP, NYC, and CHI
  • Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams
  • Generous paid vacation policy
  • 401k match program
  • Top-notch health insurance options, inclusive of same sex partners
  • Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs
  • Monthly stipend for your mobile phone and data plan
  • Sabbatical program
  • Charitable giving via our time and a financial match program
  • Shenanigan’s Day
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