Own and prioritize the product backlog for an agentic AI platform, translate vision into epics and user stories, collaborate with architects and engineers, define the roadmap, run Agile ceremonies, remove blockers, and drive secure, scalable AI platform capabilities to delivery.
BSC Analytics delivers an agentic AI platform for highly regulated industries, enabling organizations to deploy compliant infrastructure and transform data into advanced capabilities. As a Product Owner, you will drive the evolution of our platform by translating product vision into clear priorities for engineering teams—owning the backlog, defining requirements, and guiding the delivery of impactful AI capabilities. Working closely with architects and engineers, you will help bring secure, scalable, and innovative AI solutions to market.
Key Responsibilities
- Own and manage the product backlog, ensuring work is clearly defined, prioritized, and aligned with product strategy and platform goals.
- Translate product vision and complex requirements into actionable epics, features, and user stories for engineering teams.
- Collaborate closely with architects, engineers, and leadership to shape platform capabilities and technical direction.
- Define and maintain the product roadmap, aligning development priorities with business objectives and platform evolution.
- Facilitate product planning activities including backlog refinement, sprint planning, and retrospectives to ensure efficient delivery.
- Monitor progress toward product goals, adjusting priorities and scope as needed to maximize impact and delivery outcomes.
- Identify risks, dependencies, and blockers, working with engineering leadership to resolve issues and keep delivery on track.
- Evaluate opportunities to improve platform capabilities, scalability, security, and operational efficiency.
- Contribute to the evolution of BSC Analytics’ AI platform, helpingidentify new capabilities, workflows, and automation opportunities.
- Support and collaborate with engineering teams, fostering clarity around priorities and enabling effective execution.
- Manage and mentor a team of engineers, providing coaching, performance feedback, and support for their professional growth.
Skills Knowledge & Expertise
Required Qualifications:
- 3+ years of experience owning technical products as a Product Owner or Product Manager in an Agile environment
- Experience owning and prioritizing product backlogs
- Experience building or supporting platform-based products
- Experience working closely with engineering teams to deliver technical products
- Experience with AI/ML, data platforms, or data-driven products
- People management experience
- Familiarity with cloud platforms (AWS or similar)
- Experience with Agile practices and tools such as Jira and Confluence
- Strong organizational, communication, and problem-solving skills
- Consulting environment experience
- Experience in highly regulated industries
- Certified Scrum Product Owner (CSPO) or similar Agile certification
Benefits & Perks
- Benefits of full-time remote work but with a close team environment. BSC was built from the beginning to be remote. That means we work extra hard to support a culture of engagement with regular opportunities for in-person interaction.
- Flexible work schedule and time off
- Home office support
- 401k with up to 4% company match
- Medical, Dental, Vision and Life Insurance
About
As the leader in advanced data analytics for highly regulated enterprises, BSC Analytics provides technical strategy and teams of exclusively senior talent to confront the toughest data challenges.
Similar Jobs
Cloud • Security • Software • Cybersecurity • Automation
Own the function’s AI transformation strategy, prioritize high-impact opportunities, map workflows, and drive measurable adoption. Build and manage AI agents using no-code and low-code tools, configure skills and MCP connections, evaluate agent performance, and iterate solutions. Lead change management, champion networks, cross-functional collaboration, intake processes, and alignment with Enterprise AI and executive stakeholders.
Top Skills:
Ai AgentsGleanLow-Code Ai PlatformsMcp ServersNo-Code Ai PlatformsPrompt EngineeringWorkato
Information Technology • Database • Consulting
Own the Xtrakto.AI product roadmap, translating client needs, market intelligence, and competitive insights into product strategy. Collaborate with engineering, design, sales, and marketing on requirements, releases, KPIs, discovery, and feature prioritization. Represent the product with enterprise clients through demonstrations, workshops, conferences, thought leadership, RFPs, and proof-of-concept discussions. Conduct competitive analysis and user research to identify opportunities and strengthen market positioning.
Top Skills:
Ai/MlCloudGenerative AiIntelligent Document Processing (Idp)Large Language Models (Llms)Multimodal AiSaaS
Information Technology
Owns AI product backlogs, priorities, requirements, user stories, and acceptance criteria. Translates business needs into technical solutions, coordinates stakeholders and delivery teams, supports Agile ceremonies and product releases, monitors adoption and performance, and drives continuous improvement. The role also identifies AI-driven business opportunities, supports responsible AI practices, and contributes to AI product strategy.
Top Skills:
AgileArtificial IntelligenceGenerative AiMachine LearningSaaS
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
