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About the Role

The Tech Ex Labs Senior Product Owner will define and deliver the roadmap for the firm's portfolio of proprietary software assets and AI capabilities. This role partners with business leaders, AI architects, engineers, product design, governance, and product success teams to turn market and client needs into scalable, secure, responsible AI-enabled products.

Responsibilities

• Define and maintain the vision, strategy, roadmap, and outcome measures for proprietary software assets and AI capabilities.
• Use market trends, client feedback, emerging AI capabilities, competitive signals, and product performance to inform priorities.
• Own the AI product backlog, including feature prioritization, release planning, feature decomposition, user stories, and acceptance criteria.
• Translate business problems and user needs into clear requirements for engineering, data, AI/ML, and asset delivery teams.
• Make tradeoff decisions that balance speed, value, quality, technical debt, security, compliance, and responsible AI considerations.
• Lead sprint planning, backlog refinement, reviews, and delivery ceremonies to ensure increments meet roadmap goals and KPIs.
• Partner with product design, engineering, AI/ML, data, and platform teams to shape solution approaches for initiatives, epics, and stories.
• Manage delivery, model, data, privacy, security, operational, and adoption risks; support UAT, defect resolution, release readiness, and post-launch measurement.
• Serve as the product liaison across business stakeholders, AI architects, data team, ML engineers, asset engineers, product designers, governance, and product success teams.
• Gather, evaluate, and prioritize requirements from internal users, client-facing teams, asset teams, and AI development teams.
• Drive adoption through enablement, training, best practices, change management, feedback loops, and clear executive communication.
• Embed responsible AI requirements into product features and release criteria, including transparency, auditability, monitoring, data quality, human oversight, and risk controls.
• Evaluate emerging AI, MLOps, data, cloud, and automation technologies that could strengthen the firm's proprietary software asset portfolio.
• Identify opportunities to improve developer productivity, reduce operational cost, increase reliability, and standardize repeatable patterns across AI and software assets.
• Champion a product mindset focused on customer experience, measurable business outcomes, reusable capabilities, continuous delivery, and scalable operations.

Requirements

• Bachelor's degree in Business, Computer Science, Engineering, Information Systems, Data Science, or a related field preferred; equivalent experience accepted.
• 7+ years of experience in product management, product ownership, technology delivery, platform management, AI/ML programs, or related disciplines.
• 2+ years of experience supporting AI, machine learning, analytics, data platforms, cloud-based products, generative AI, agentic AI, or AI-enabled software capabilities.
• Strong understanding of Agile/Scrum delivery and experience leading cross-functional Agile teams.
• Proven track record delivering customer-centric technology products aligned to business objectives, adoption goals, and measurable outcomes.
• Experience collaborating with engineering, architecture, data, AI/ML, design, governance, business, and executive stakeholders.
• Ability to travel as needed for team meetings, workshops, stakeholder sessions, or conferences.

Skills

• Practical understanding of the AI/ML lifecycle, including data ingestion, model development, evaluation, deployment, monitoring, retraining, and continuous improvement.
• Familiarity with generative AI, agentic AI concepts, AI platform architecture, MLOps, cloud-native technologies, and enterprise technology ecosystems.
• Working knowledge of data engineering, platform engineering, AI governance, security, compliance, privacy, and responsible AI frameworks.
• Strong product strategy, roadmap development, backlog prioritization, release planning, and metrics-driven decision-making skills.
• Ability to translate ambiguous business needs into product requirements, technical capabilities, user stories, acceptance criteria, and success metrics.
• Strong analytical and problem-solving skills, with the ability to use customer feedback, performance metrics, and adoption data to guide product decisions.
• Ability to balance competing stakeholder priorities while maintaining focus on business value, feasibility, risk, and delivery outcomes.
• Excellent stakeholder management, executive communication, facilitation, and organizational skills.
• Ability to lead cross-functional decision-making across business, product, design, engineering, data, AI/ML, and governance teams.
• Ability to communicate a compelling product vision and adapt quickly to evolving AI technologies, market trends, and business needs.

Location

• Seattle
• Washington, D.C.
• Los Angeles
• New York City
• San Francisco

Work Type

• Onsite

Experience Level

• Senior
• 7+ years
• 2+ years

Education Level

• Bachelor's degree in Business, Computer Science, Engineering, Information Systems, Data Science, or a related field preferred; equivalent experience accepted.

Salary/Compensations

• Seattle or Washington, D.C.: $194,100—$228,400 USD
• Los Angeles: $203,400—$239,300 USD
• New York City or San Francisco: $212,600—$250,100 USD
• A location not listed above: $184,900—$217,500 USD

Benefits

• Medical, dental, vision, and basic life insurance.
• Company’s 401k plan.
• Employee stock ownership program.
• Annual bonuses.
• Unlimited flexible time off.
• Ten paid holidays throughout the calendar year.
• Ten weeks of paid parental leave upon hire date.

About the Company

• We’re a global business and technology consulting firm passionate about creating measurable value for our clients, delivering real-world solutions.
• The combination of business and technology is not new, but how we bring them together is unique. We’re fluent in both. We know that technology alone is not the answer, but how we apply it is. We rely on data to constantly adapt and solve new challenges. Actions that work today with outcomes that generate value for years to come.
• At West Monroe, we zero in on the heart of the opportunity, getting to results faster and preparing people for what’s next.
• You’ll feel the difference in how we work. We show up personally. We’re right there in the room with you, co-creating through the challenges. With West Monroe, collaboration isn’t a lofty promise, but a daily action. We work together with you to turn vision into clear action with lasting impact.

Equal Opportunity

• West Monroe is an Equal Employment Opportunity Employer.
• We believe in treating each employee and applicant for employment fairly and with dignity. We base our employment decisions on merit, experience, and potential, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by federal, state or local law.
• To learn more about diversity, equity and inclusion at West Monroe, visit www.westmonroe.com/inclusion.
• If you require a reasonable accommodation to participate in our recruiting process, please inquire by sending an email to recruiting@westmonroe.com.