Technical Product Manager

• Define and own the product vision, strategy, and roadmap for AI/ML-driven products and data platforms
• Translate business objectives into scalable, reusable AI product capabilities
• Identify opportunities to leverage advanced analytics, machine learning, and generative AI to drive business impact
• Lead product lifecycle from opportunity identification → POC → MVP → production scaling
• Partner closely with engineering, data science, and platform teams to define technical requirements and architecture trade-offs
• Lead workshops and facilitate alignment on priorities, scope, and trade-offs
• Drive agile product development, including backlog prioritization and sprint planning
• Ensure solutions adhere to enterprise AI governance, security, and compliance standards

Principal Technical Product Manager

• Define the vision and strategic direction for the team's products aligned with business objectives and market demands. Create and own a comprehensive product roadmap aligned with this vision.
• Collaborate extensively with internal and external stakeholders and translate user needs into clear product requirements.
• Craft detailed user stories and acceptance criteria for development sprints.
• Manage and prioritize the product backlog, ensuring alignment with evolving requirements and business goals.
• Serve as a bridge between the engineering team and other departments, fostering collaboration and ensuring alignment on technical requirements, timelines, and priorities.
• Actively participate in agile meetings to maintain transparency on progress, impediments, and successes.
• Monitor and evaluate product progress across all stages and communicate product updates.
• Own and maintain comprehensive product documentation, including user guides, and release notes.

Technical Product Owner

• Owned roadmap execution for core capabilities across our Data Platform & Insights products and Forms initiative
• Partnered closely with engineering teams to define scalable platform functionality, APIs, integrations, and data workflows
• Collaborated with customers and internal stakeholders to understand reporting, analytics, and operational workflow needs across public safety agencies
• Worked on new configurable forms and workflow experiences that improve data collection and operational efficiency
• Prioritized and refined product requirements and backlog items based on customer feedback, technical constraints, and business priorities
• Collaborated with go-to-market, sales, and services teams to support launches, customer adoption, and implementation planning
• Helped define product requirements for AI-enabled insights, automation, and workflow enhancements across the platform
• Balanced delivery of new platform capabilities with the operational work required to improve system reliability, usability, and scalability

Platform Technical Product Manager

• Define and own the EPM / EPBCS product roadmap
• Act as the EPM / EPBCS subject matter authority
• Identify and drive opportunities to improve planning cycle efficiency
• Own the end-to-end lifecycle of the EPBCS module
• Partner with Integration, Data, Infrastructure, and Security teams
• Lead EPBCS modernization initiatives
• Establish a metrics driven performance framework for EPM processes
• Monitor and report on platform health, adoption, automation levels
• Own EPBCS demand intake, prioritization, testing coordination
• Lead and develop the EPM / EPBCS product team
• Serve as a trusted partner to the Platform Owner, Head of Finance Technology

Oracle EPM Technical Product Owner

• Define and drive platform product strategy
• Own the roadmap for key platform domains (e.g., Accounts or Payments), driving initiatives such as “Sign in with Dojo”
• Translate ambiguous technical challenges into clear product opportunities with defined outcomes and success metrics
• Ensure platform work is grounded in real user and business value
• Deliver high-impact platform capabilities
• Break down complex systems into incremental, shippable improvements that deliver value early and often
• Partner closely with engineering to drive execution from concept through launch and adoption
• Balance tradeoffs across technical complexity, product value, and cost
• Establish strong platform product practices
• Define how platform teams gather requirements, prioritize work, and align with stakeholders
• Introduce structured, data-informed decision-making into platform roadmaps
• Help reduce reactive work by creating clarity and alignment across teams
• Partner cross-functionally
• Work closely with Data Platform to deliver high-impact data capabilities
• Collaborate with product teams to ensure platform capabilities meet real needs and are widely adopted
• Act as a bridge between technical systems and end-user experience

Senior Technical Product Manager

• Act as the product owner for business solutions understanding product, business, and competitive landscape to successfully enhance the company's competitive advantage in the industry.
• Coordinate with business teams and other key business partners to create a product vision, understand and help identify business value, understand required capabilities and translate these into product requirements.
• Partner with business, product, analytics, and operational leaders across portfolios to drive shared prioritization, manage tradeoffs, and ensure aligned execution.
• Translate business needs and engagement strategies into well‑defined features and user stories, driving delivery within a SAFe Agile framework.
• Communicate product updates to stakeholders, including executive leadership.
• Manage expectations and solicit feedback to ensure alignment across the organization.
• Coordinate with technical partners from engineering, data science, user design, and architecture teams in a fast-paced, agile development process to successfully deliver roadmap capabilities.
• Define, monitor, and use KPIs to assess performance, inform decisions, and continuously improve engagement outcomes.
• Identify and proactively manage dependencies, integrations, platform constraints, and delivery risks for the product.
• Guide teams to resolve business, design, and engineering problems quickly and efficiently.

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