Product Manager- Tech Ex AI Assets Foundry Team

Are you ready to make an impact

The Tech Ex Labs Product Manager helps shape and deliver the roadmap for the firms proprietary software assets and AI capabilities translating market and client needs into scalable secure responsible AI-enabled products.

Responsibilities

AI Product Strategy and Roadmap

• Support the product vision roadmap and outcome measures for proprietary software assets and AI capabilities.

• Use market trends client feedback emerging AI capabilities and product performance to inform priorities.

Product Discovery and Requirements

• Own defined areas of the product backlog including release planning user stories and acceptance criteria.

• Translate business problems and user needs into clear requirements for engineering data AI/ML and asset teams.

• Recommend tradeoffs that balance speed value quality technical debt security compliance and responsible AI.

Delivery Readiness and Performance

• Facilitate sprint planning backlog refinement reviews and delivery ceremonies to meet roadmap goals and KPIs.

• Partner with product design engineering AI/ML data and asset teams to shape initiatives epics and stories.

• Track delivery adoption quality and performance; support UAT defect resolution release readiness and post-launch measurement.

Stakeholder Collaboration Adoption and Responsible AI

• Serve as a product liaison across business stakeholders AI architects engineers product designers governance and success teams.

• Gather and prioritize requirements from internal users client-facing teams asset teams and AI development teams.

• Support adoption through enablement training best practices change management feedback loops and stakeholder communication.

• Incorporate responsible AI requirements into features and release criteria including transparency monitoring data quality oversight and controls.

Innovation and Continuous Improvement

• Stay current on emerging AIMLOps data cloud and automation technologies relevant to the firms software assets.

• Identifyopportunities to improve user experience developer productivity reliability and repeatable delivery patterns.

• Champion a product mindset focused on customer experience measurable outcomes reusable capabilities and continuous improvement.

Qualifications

• Bachelors degree in Business Computer Science Engineering Information Systems Data Science or related field preferred; equivalent experience accepted.

• 5 years of experience in product management product ownership technology delivery platform management AI/ML programs or related disciplines.

• 1-2 years supporting AI machine learning analytics data platforms cloud products generative AI agentic AI or AI-enabled software.

• Strong understanding of Agile/Scrum delivery and experience working with cross-functional Agile teams.

• Track recordsupporting customer-centric technology products aligned to businessobjectives adoption goals and measurable outcomes.

• Experience collaborating with engineering architecture data AI/ML design governance business and stakeholder teams.

• Ability to travel as needed for team meetings workshops stakeholder sessions or conferences.

Knowledge and Skills

AI and Technology Knowledge

• Working understanding of the AI/ML lifecycle including data ingestion model development evaluation deployment monitoring and improvement.

• Familiarity with generative AI agentic AI AI platform architectureMLOps cloud-native technologies and enterprise technology ecosystems.

• Working knowledge of data engineering platform engineering AI governance security compliance privacy and responsible AI frameworks.

Product Management Skills

• Strong roadmap support backlog prioritization release planning andmetrics-driven decision-making skills.

• Ability to translate business needs into requirements technical capabilities user stories acceptance criteria and success metrics.

• Strong analytical and problem-solving skills using customer feedback performance metrics and adoption data.

• Ability to balance stakeholder priorities whilemaintainingfocus on value feasibility risk and delivery outcomes.

Leadership and Communication Skills

• Strong stakeholder management communication facilitation and organizational skills.

• Ability to coordinate cross-functional decisions across business product design engineering data AI/ML and governance teams.

• Ability to communicate product direction clearly and adapt to evolving AI technologies market trends and business needs.

Were 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. Were 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 whats next.

Youll feel the difference in how we work. We show up personally. Were right there in the room with you co-creating through the challenges. With West Monroe collaboration isnt a lofty promise but a daily action. We work together with you to turn vision into clear action with lasting impact.

West Monroeis 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 If you require a reasonable accommodation to participate in our recruiting process please inquire by sending an email to .

Please review our current policy regarding use of generative artificial intelligence during the application process.

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