Senior Product Owner, Product Development

Ascensus•Lake Mary, FL

17h

About The Position

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow. Position Summary As a Senior Product Owner, Enterprise AI Platform, you will define, prioritize, and drive execution of platform capabilities that turn modern AI technology into practical, reliable, and measurable business value. This role provides product ownership and delivery leadership across multiple scrum teams. You will partner closely with: Software Engineers SDETs DevOps Engineers Support Engineers Architects Product leaders AI specialists Business stakeholders Operational leaders This is a senior product ownership role for someone who can balance business outcomes, user needs, technical complexity, delivery execution, responsible AI adoption, and team effectiveness. You will be responsible for: Defining and maintaining the roadmap for Enterprise AI Platform capabilities Prioritizing team backlogs based on business value, user impact, risk, dependencies, and platform strategy Translating business needs into clear epics, features, user stories, acceptance criteria, and measurable outcomes Representing users, internal customers, and stakeholders throughout planning, delivery, validation, and release Partnering with engineering, architecture, AI, support, operations, and business teams to deliver production-grade AI capabilities Staying informed on emerging AI tools, models, workflows, and platform patterns Partnering with technical teams to shape demos, POCs, pilots, and early concepts that validate value before larger investment Helping teams operate effectively by applying Agile practices pragmatically, not performatively This role requires an AI product builder mindset: the ability to combine product ownership, user experience thinking, technical curiosity, and AI-assisted prototyping to help teams validate ideas quickly and focus on the highest-value opportunities. The Senior Product Owner should be comfortable using demos, workflow sketches, lightweight prototypes, user feedback, and production data to shape product direction before larger engineering investment is made. AI prototyping is increasingly becoming part of modern product discovery because product leaders can use AI tools to turn PRDs, sketches, and designs into working prototypes faster than traditional handoff cycles. What We’re Looking For We are looking for a senior product owner who can balance product strategy, delivery execution, stakeholder alignment, technical curiosity, team effectiveness, and business value realization. The ideal candidate is someone who: Has strong product ownership experience in technology-driven environments Can oversee product direction and backlog health across multiple scrum teams Can translate business goals into clear, actionable team backlogs Writes strong user stories, acceptance criteria, and product requirements Thinks deeply about user workflows, usability, adoption, and the associate experience Uses wireframes, workflow sketches, journey maps, lightweight prototypes, or AI-assisted demos to clarify product direction and gather feedback Is naturally curious about AI, automation, platform capabilities, and emerging technology Can partner with technical leaders to turn early ideas into demos, POCs, pilots, or backlog-ready capabilities Prioritizes competing needs across users, stakeholders, dependencies, technical constraints, and delivery capacity Applies Agile Scrum practices selectively when they improve clarity, alignment, delivery, or continuous improvement Helps identify blockers, dependency issues, team friction, and process gaps Can facilitate planning, refinement, reviews, retrospectives, and cross-team coordination when useful Partners well with engineers, SDETs, DevOps engineers, support teams, architects, AI specialists, business stakeholders, and senior leaders What Success Looks Like You will be successful in this role if you: Build and maintain a clear, prioritized roadmap for Enterprise AI Platform capabilities. Keep multiple team backlogs healthy, actionable, and aligned to business and platform priorities. Translate ambiguous business needs into clear, sprint-ready work. Help teams deliver high-quality AI-enabled capabilities consistently. Make practical prioritization decisions when demand exceeds capacity. Use KPIs, user feedback, production data, and business outcomes to guide product decisions. Stay curious about emerging AI technologies and identify where they can create practical value. Use demos, pilots, POCs, prototypes, and early experiments to validate ideas before scaling investment. Blend product judgment, user experience thinking, and technical curiosity to identify which AI opportunities are worth pursuing. Help stakeholders understand what teams are building, why it matters, and how it improves real business outcomes. Apply Agile Scrum practices with the right level of structure for each team, avoiding unnecessary process overhead. Facilitate team and cross-team conversations when needed to improve clarity, remove blockers, resolve dependencies, and increase delivery effectiveness. Raise the quality of product ownership and Agile delivery practices across the teams. Help connect day-to-day execution to broader Enterprise AI Platform goals. Grow your own product leadership scope, judgment, and organizational influence over time. Product ownership should not be passive backlog administration. In a fast-moving AI platform environment, the strongest Senior Product Owner is actively learning, validating, prioritizing, facilitating, and helping the organization understand which AI opportunities are worth pursuing and which are not. Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website. Ascensus helps millions of people save for a better future. What makes any career at Ascensus so rewarding? Collaborative, idea-sharing environment Professional Development with in-house training and tuition reimbursement Generous reward programs Paid time off Medical, dental & vision benefits Health Savings Account with employer contribution up to $1,100 401(k) & 529 college savings match programs Volunteer and charitable-giving programs Business casual dress

Requirements

7+ years of professional experience in product ownership, product management, business analysis, technology delivery, software engineering, quality engineering, or a related field.
4+ years of experience as a Product Owner, Product Manager, Business Analyst, or similar role supporting software delivery teams.
Experience providing product ownership or delivery leadership across multiple scrum teams, products, workstreams, or complex initiatives.
Experience owning or supporting product roadmaps, team backlogs, feature prioritization, sprint planning, and release planning.
Experience translating business needs into clear epics, features, user stories, acceptance criteria, and measurable outcomes.
Strong understanding of Agile delivery practices and modern software development life cycle practices.
Ability to apply Agile practices pragmatically, using planning, refinement, reviews, retrospectives, and team coordination when they improve delivery, alignment, or continuous improvement.
Experience working closely with software delivery teams that include: Software Engineers SDETs DevOps Engineers Support Engineers Quality Engineers
Ability to prioritize work based on business value, user impact, technical risk, dependencies, and delivery capacity.
Experience supporting user acceptance testing, release readiness, product validation, and feedback loops.
Ability to use product discovery techniques, lightweight prototypes, demos, workflow diagrams, or AI-assisted tools to validate user needs and improve stakeholder alignment.
Strong communication, facilitation, negotiation, conflict resolution, and stakeholder management skills.
Strong analytical skills with the ability to use data, feedback, and KPIs to guide product decisions.
Ability to create clarity in ambiguous or fast-changing environments.
Demonstrated curiosity and ability to learn quickly in a fast-evolving technical environment.
Bachelor’s degree in Business, Computer Science, Computer Information Systems, Business Information Systems, a related field, or equivalent practical experience.

Nice To Haves

Product ownership for enterprise platforms, internal developer platforms, AI platforms, shared services, or internal business applications
AI-enabled applications, LLM-powered systems, RAG, chatbots, agent workflows, prompt strategies, or AI-assisted engineering practices
Azure, Azure AI Foundry, Azure DevOps, Aha!, Miro, or similar tools
Writing behavior-driven development, or BDD, scenarios and acceptance criteria
Automated testing, SDET practices, Playwright, Python-based test automation, or end-to-end testing
CI/CD, release automation, production readiness, incident trends, or operational improvement
Observability, product analytics, telemetry, user feedback, or operational metrics
Enterprise systems such as Salesforce, internal platforms, APIs, workflow systems, or service-oriented architectures
Organizational readiness, change management, training, adoption planning, or support enablement
Coordinating product direction, backlog alignment, and dependencies across multiple scrum teams
Shaping or evaluating AI-related demos, POCs, pilots, prototypes, or early-stage product concepts
Turning discovery learnings, stakeholder feedback, and pilot outcomes into product roadmap decisions
Facilitating Agile team activities, delivery health conversations, retrospectives, dependency resolution, or continuous improvement efforts
Coaching or mentoring other Product Owners, Business Analysts, or Scrum Team members

Responsibilities

Define and maintain the roadmap for Enterprise AI Platform capabilities
Prioritize team backlogs based on business value, user impact, risk, dependencies, and platform strategy
Translate business needs into clear epics, features, user stories, acceptance criteria, and measurable outcomes
Represent users, internal customers, and stakeholders throughout planning, delivery, validation, and release
Partner with engineering, architecture, AI, support, operations, and business teams to deliver production-grade AI capabilities
Stay informed on emerging AI tools, models, workflows, and platform patterns
Partner with technical teams to shape demos, POCs, pilots, and early concepts that validate value before larger investment
Help teams operate effectively by applying Agile practices pragmatically, not performatively
Combine product ownership, user experience thinking, technical curiosity, and AI-assisted prototyping to help teams validate ideas quickly and focus on the highest-value opportunities
Use demos, workflow sketches, lightweight prototypes, user feedback, and production data to shape product direction before larger engineering investment is made
Balance product strategy, delivery execution, stakeholder alignment, technical curiosity, team effectiveness, and business value realization
Oversee product direction and backlog health across multiple scrum teams
Translate business goals into clear, actionable team backlogs
Write strong user stories, acceptance criteria, and product requirements
Think deeply about user workflows, usability, adoption, and the associate experience
Use wireframes, workflow sketches, journey maps, lightweight prototypes, or AI-assisted demos to clarify product direction and gather feedback
Be naturally curious about AI, automation, platform capabilities, and emerging technology
Partner with technical leaders to turn early ideas into demos, POCs, pilots, or backlog-ready capabilities
Prioritize competing needs across users, stakeholders, dependencies, technical constraints, and delivery capacity
Apply Agile Scrum practices selectively when they improve clarity, alignment, delivery, or continuous improvement
Help identify blockers, dependency issues, team friction, and process gaps
Facilitate planning, refinement, reviews, retrospectives, and cross-team coordination when useful
Partner well with engineers, SDETs, DevOps engineers, support teams, architects, AI specialists, business stakeholders, and senior leaders
Build and maintain a clear, prioritized roadmap for Enterprise AI Platform capabilities
Keep multiple team backlogs healthy, actionable, and aligned to business and platform priorities
Translate ambiguous business needs into clear, sprint-ready work
Help teams deliver high-quality AI-enabled capabilities consistently
Make practical prioritization decisions when demand exceeds capacity
Use KPIs, user feedback, production data, and business outcomes to guide product decisions
Stay curious about emerging AI technologies and identify where they can create practical value
Use demos, pilots, POCs, prototypes, and early experiments to validate ideas before scaling investment
Blend product judgment, user experience thinking, and technical curiosity to identify which AI opportunities are worth pursuing
Help stakeholders understand what teams are building, why it matters, and how it improves real business outcomes
Apply Agile Scrum practices with the right level of structure for each team, avoiding unnecessary process overhead
Facilitate team and cross-team conversations when needed to improve clarity, remove blockers, resolve dependencies, and increase delivery effectiveness
Raise the quality of product ownership and Agile delivery practices across the teams
Help connect day-to-day execution to broader Enterprise AI Platform goals
Grow your own product leadership scope, judgment, and organizational influence over time
Actively learning, validating, prioritizing, facilitating, and helping the organization understand which AI opportunities are worth pursuing and which are not