WM

Technical Program Manager

WM

full-time

Posted on:

Location Type: Hybrid

Location: Houston • Texas • United States

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Job Level

SeniorLead

Tech Stack

CloudERP

About the role

  • Define and articulate the vision for both the AI-driven vendor risk solution and the AI-driven CLM tool in alignment with organizational goals and industry best practices.
  • Develop and maintain product roadmaps that prioritize features, enhancements, and technical debt reduction.
  • Champion AI capabilities that drive automation, predictive risk analysis, smart contract authoring, and analytics.
  • Collaborate with cross-functional teams including engineering, data science, legal, compliance, procurement, and vendor management.
  • Gather and analyze feedback from internal stakeholders, external clients, and market research to inform product direction.
  • Communicate product vision, strategy, and release timelines effectively across all levels of the organization.
  • Own and prioritize product backlogs for both platforms, ensuring that user stories and technical requirements are clearly documented, actionable, and aligned with business goals.
  • Work closely with Agile teams to refine backlogs, define acceptance criteria, and balance the need for speed with quality and regulatory compliance.
  • Facilitate sprint planning, stand-ups, reviews, and retrospectives as needed.
  • Drive the integration and optimization of AI capabilities within both the vendor risk and CLM solutions, ensuring scalability, security, and ethical use of AI.
  • Evaluate and select appropriate AI models and frameworks in partnership with data scientists and engineers.
  • Monitor AI performance and recommend improvements to continuously elevate solution value.
  • Oversee the end-to-end lifecycle of the AI-driven vendor risk platform—from requirements gathering, design, and development to deployment and ongoing improvement.
  • Ensure the solution proactively identifies, assesses, and mitigates third-party risks leveraging AI-powered automation and analytics.
  • Establish metrics and KPIs for risk detection accuracy, response time, and regulatory compliance.
  • Stay abreast of evolving vendor risk management industry trends and regulations.
  • Actively manage the AI-driven CLM tool, ensuring seamless integration with other enterprise systems (ERP, CRM, legal databases, etc.).
  • Drive development of features such as automated contract drafting, clause recognition, smart approvals, and AI-based risk scoring.
  • Continuously improves user experience for legal, procurement, and business teams.
  • Track metrics for contract cycle time, compliance rates, and user adoption.
  • Ensure both solutions meet relevant regulatory requirements (GDPR, CCPA, HIPAA, PCI DSS, etc.) and internal governance standards.
  • Work with Information Security teams to embed robust security controls in product design, especially for sensitive contract and vendor data.
  • Proactively address ethical AI considerations and data privacy concerns in all product decisions.
  • Champion a culture of experimentation, feedback, and rapid iteration for both platforms.
  • Monitor product analytics to identify areas for enhancement or innovation.
  • Explore emerging technologies (such as Generative AI, Natural Language Processing, Blockchain) that can augment solution capabilities.
  • Establish and own clear reporting frameworks to monitor key performance indicators, compliance objectives, and operational metrics across both legal and procurement platforms.
  • Collaborate with Business Intelligence Team to develop dashboards and executive reports that provide actionable insights into system usage, contract lifecycle management, and risk exposure.
  • Establish regular reporting cadence to inform supply chain, risk management, and shared services leadership on program progress, compliance, and efficiency.
  • Collaborate with cross-functional teams to implement effective internal controls that safeguard sensitive data, ensure process integrity, and support audit readiness.
  • Continuously review and enhance control mechanisms to respond to evolving regulatory environments and technology standards.
  • Facilitate transparent communication regarding control performance and incident management, driving accountability and rapid resolution of any identified gaps or breaches.

Requirements

  • Bachelor’s Degree (accredited) in Computer Science, Information Systems, Engineering, Business Administration, or related field. Master’s Degree preferred.
  • 7 years of experience as a Product Owner, Product Manager, or similar role with direct accountability for technical product delivery.
  • Experience with vendor risk management and/or contract lifecycle management solutions.
  • Practical exposure to SaaS product development and cloud-based deployments.
  • Knowledge of the ethical considerations and limitations of AI in enterprise environments.
  • Ability to translate complex technical concepts into clear business requirements.
  • Innovative mindset with keen curiosity for industry trends and emerging technologies.
  • Adaptability to thrive in a fast-paced, cross-disciplinary environment.
  • Hands-on experience with AI or machine learning projects, ideally in risk management or contract management domains.
  • Strong technical acumen including understanding of APIs, data modeling, cloud platforms, and AI/ML frameworks.
  • Proven track record managing products in an Agile/Scrum environment.
  • Excellent communication, negotiation, and stakeholder management skills.
  • Familiarity with regulatory requirements affecting data security and privacy.
  • Ability to balance strategic thinking with tactical execution.
  • Expert communication skills throughout an organization
Benefits
  • Medical
  • Dental
  • Vision
  • Life Insurance
  • Short-Term Disability
  • Stock Purchase Plan
  • Company match on Pension
  • Paid Vacation
  • Holidays
  • Personal Days
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AI-driven solutionsvendor risk managementcontract lifecycle managementSaaS product developmentcloud-based deploymentsAPIsdata modelingAI/ML frameworksAgilemachine learning
Soft Skills
communicationnegotiationstakeholder managementadaptabilityinnovative mindsetstrategic thinkingtactical executioncuriositycollaborationleadership