Product Owner, AI & Analytics

BMO Financial Group

San Ramon (CA)

On-site

USD 90,000 - 180,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

Tuition reimbursement

Accident insurance

Life insurance

Retirement savings plans

Performance bonuses

Discretionary bonuses

Job summary

BMO Financial Group in San Ramon, CA is seeking a senior product manager to translate customer needs into AI-powered product roadmaps and measurable outcomes within Commercial Banking. You will work with data scientists, engineers, and business stakeholders to define requirements and prioritize backlogs.

The role focuses on adoption, business value, and long-term impact, requiring 5-7 years of relevant experience, agile delivery, and strong collaboration across teams in a fast-paced financial

Qualifications

Typically 5-7 years of relevant experience in product ownership/management.
Experience translating business requirements into product requirements and user stories.
Experience with Agile delivery in financial services or AI-enabled solutions.

Responsibilities

Transform customer needs, business challenges, and strategic opportunities into products that deliver measurable business value.
Contribute to product strategy, priorities, and roadmaps tied to measurable outcomes.
Partner with business stakeholders to understand workflows, opportunities, challenges, priorities, and user needs.
Facilitate discovery discussions to align stakeholders, challenge assumptions, and uncover innovation opportunities.
Gather and synthesize customer, business, operational, and data-driven insights to identify opportunities, evaluate alternatives, and guide product direction.
Review processes and workflows to find ways to simplify, optimize, and improve business performance.
Support stakeholders in defining, prioritizing, and validating opportunities that create value.
Build knowledge of Commercial Banking objectives, customer needs, operational processes, and strategic priorities.
Evaluate opportunities using both product and business considerations, balancing customer value, commercial impact, risk, effort, and long-term benefit.
Link product decisions to measurable outcomes to build credibility with business leaders.
Help stakeholders evaluate trade-offs and investment decisions to maximize value.
Serve as the connection between business stakeholders and delivery teams by translating goals into clear product requirements.
Translate business needs into product roadmaps, product requirements, user stories, acceptance criteria, and prioritized backlogs.
Ensure delivery teams understand what to build, why it matters, and how success will be measured.
Advocate for end users throughout the product lifecycle.
Continuously improve products by making them easier to use, more valuable, more intuitive, and better aligned to user workflows.
Focus on adoption, customer outcomes, and long-term value creation, not only feature delivery.
Work with Data Scientists, Data Engineers, Software Developers, Architects, Scrum Masters, Product Managers, and Business Stakeholders to move AI-powered capabilities from discovery through implementation, adoption, and continuous improvement.
Balance customer value, business priorities, technical feasibility, and delivery timelines.
Execute product priorities through established delivery processes and cross-functional team practices while maintaining alignment to strategy and outcomes.
Partner with delivery teams to ensure solutions align with business objectives and user needs.
Navigate competing priorities, align stakeholders, and communicate effectively across business and technical audiences.
Use proactive decision-making and accountability for outcomes, moving work forward even without perfect information.
Demonstrate resilience, adaptability, and a growth mindset while solving difficult problems and shaping abstract ideas into product vision, structured requirements, and executable plans.
Use data, customer insights, research, and sound judgment to evaluate options and make informed decisions.
Engage credibly with stakeholders by connecting product decisions to strategic priorities, customer outcomes, operational improvements, and financial performance.

Skills

Product Ownership

Product Management

Business Analysis

Consulting

Strategy

Cross-functional delivery

Agile delivery

Stakeholder collaboration

Education

Post-secondary education

Tools

Jira

Confluence

Azure DevOps

Rovo

Job description

Shape AI-powered product experiences for Commercial Banking by translating customer and business needs into measurable outcomes across discovery and delivery.

Responsibilities

Transform customer needs, business challenges, and strategic opportunities into products that deliver measurable business value.
Contribute to product strategy, priorities, and roadmaps tied to measurable outcomes.
Partner with business stakeholders to understand workflows, opportunities, challenges, priorities, and user needs.
Facilitate discovery discussions to align stakeholders, challenge assumptions, and uncover innovation opportunities.
Gather and synthesize customer, business, operational, and data-driven insights to identify opportunities, evaluate alternatives, and guide product direction.
Review processes and workflows to find ways to simplify, optimize, and improve business performance.
Support stakeholders in defining, prioritizing, and validating opportunities that create value.
Build knowledge of Commercial Banking objectives, customer needs, operational processes, and strategic priorities.
Evaluate opportunities using both product and business considerations, balancing customer value, commercial impact, risk, effort, and long-term benefit.
Link product decisions to measurable outcomes to build credibility with business leaders.
Help stakeholders evaluate trade-offs and investment decisions to maximize value.
Serve as the connection between business stakeholders and delivery teams by translating goals into clear product requirements.
Translate business needs into product roadmaps, product requirements, user stories, acceptance criteria, and prioritized backlogs.
Ensure delivery teams understand what to build, why it matters, and how success will be measured.
Advocate for end users throughout the product lifecycle.
Continuously improve products by making them easier to use, more valuable, more intuitive, and better aligned to user workflows.
Focus on adoption, customer outcomes, and long-term value creation, not only feature delivery.
Work with Data Scientists, Data Engineers, Software Developers, Architects, Scrum Masters, Product Managers, and Business Stakeholders to move AI-powered capabilities from discovery through implementation, adoption, and continuous improvement.
Balance customer value, business priorities, technical feasibility, and delivery timelines.
Execute product priorities through established delivery processes and cross-functional team practices while maintaining alignment to strategy and outcomes.
Partner with delivery teams to ensure solutions align with business objectives and user needs.
Navigate competing priorities, align stakeholders, and communicate effectively across business and technical audiences.
Use proactive decision-making and accountability for outcomes, moving work forward even without perfect information.
Demonstrate resilience, adaptability, and a growth mindset while solving difficult problems and shaping abstract ideas into product vision, structured requirements, and executable plans.
Use data, customer insights, research, and sound judgment to evaluate options and make informed decisions.
Engage credibly with stakeholders by connecting product decisions to strategic priorities, customer outcomes, operational improvements, and financial performance.

Requirements

Typically 5-7 years of relevant experience and post-secondary education in a related discipline, or an equivalent combination of education and experience.
Experience in Product Ownership, Product Management, Business Analysis, Consulting, Strategy, or related disciplines.
Experience translating business requirements into product requirements and user stories.
Experience working with cross-functional delivery teams.
Experience in financial services, banking, analytics, data products, digital products, or AI-enabled solutions.
Experience supporting Agile delivery teams.