Lead Product Manager
ConsultNet Technology Services and Solutions
About the role
Title
Lead Product Manager – Productivity & AI Platforms
Location
Rockville, Maryland or McLean, VA
Target Start Date
ASAP
Type
contract
Pay Rate
DOE
Role Overview
We are seeking a Lead Product Manager to drive a strategic enterprise initiative evaluating and shaping the future of productivity platforms enhanced by AI. This role will lead a comprehensive assessment of modern workplace tools—including Microsoft and Google ecosystems—and their embedded AI capabilities to inform long-term technology strategy, adoption, and roadmap.
You will partner with cross‑functional stakeholders to evaluate current‑state productivity, identify opportunities for AI‑driven efficiency, and deliver actionable recommendations to executive leadership.
Key Responsibilities
Product Strategy & Vision
- Define and lead the product vision, strategy, and roadmap for enterprise productivity and AI‑enabled workplace solutions
- Evaluate and compare productivity platforms (e.g., Microsoft 365, Google Workspace) and their AI capabilities
- Translate business needs and user insights into scalable product strategies and recommendations
- Develop executive‑level business cases, including ROI, productivity gains, and adoption strategies
User Research & Insights
- Conduct research and analysis across business units to understand workflows, pain points, and productivity gaps
- Leverage data, user feedback, and experimentation to identify opportunities for AI‑driven improvements
- Partner with stakeholders to validate findings and refine product direction
Product Portfolio & Roadmap Management
- Own and manage the roadmap for multiple initiatives related to productivity tooling and AI adoption
- Prioritize initiatives based on business value, user impact, and technical feasibility
- Drive alignment across business, technology, UX, and data teams
Product Planning & Execution
- Lead requirements definition, including user stories, use cases, and acceptance criteria
- Maintain and prioritize product backlogs aligned to strategic goals
- Collaborate closely with engineering and design teams to deliver high‑quality solutions
- Monitor progress, manage risks, and resolve blockers throughout the development lifecycle
Launch & Adoption
- Lead product launches, including go‑to‑market strategy, rollout planning, and stakeholder communication
- Develop training materials and enablement strategies to drive adoption
- Track success metrics and user engagement to inform continuous improvement
Operational Excellence
- Establish KPIs and success metrics for productivity and AI adoption
- Monitor product performance and user feedback to drive enhancements
- Identify opportunities for innovation and continuous optimization
Leadership & Collaboration
- Partner with senior leadership to influence strategic decisions
- Collaborate across product, engineering, UX, and business teams
- Mentor and guide junior product managers and team members
- Promote best practices in product management and agile delivery
Required Qualifications
- Bachelor's degree or equivalent experience
- 7+ years of experience in product management, program management, or related roles
- 5+ years of experience leading product strategy and delivery
- Hands‑on experience with enterprise productivity platforms (Microsoft 365, Google Workspace)
- Familiarity with AI capabilities within productivity tools (e.g., copilots, generative AI, automation)
- Strong analytical and problem‑solving skills with the ability to translate data into action
- Experience working in Agile environments
- Proven ability to work cross‑functionally and influence senior stakeholders
- Excellent written and verbal communication skills
Preferred Qualifications
- MBA or advanced degree
- Experience leading enterprise‑scale digital transformation initiatives
- Background in financial services or highly regulated industries
- Strong understanding of AI/ML trends and enterprise adoption strategies
- Experience building business cases and financial models
What Success Looks Like
- Clear, data‑driven recommendation on enterprise productivity platform strategy
- Measurable improvements in productivity, efficiency, and user satisfaction
- Successful rollout and adoption of AI‑enabled tools across the organization
- Strong alignment between business, technology, and leadership stakeholders
Work Environment
- Hybrid or office‑based environment
- Occasional extended hours based on project needs
About ConsultNet
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract‑to‑hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication‑driven approach, partnering with a diverse client base to build high‑performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com.
Equal Opportunity Employer
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Requirements
- Bachelor's degree or equivalent experience
- 7+ years of experience in product management, program management, or related roles
- 5+ years of experience leading product strategy and delivery
- Hands-on experience with enterprise productivity platforms (Microsoft 365, Google Workspace)
- Familiarity with AI capabilities within productivity tools (e.g., copilots, generative AI, automation)
- Strong analytical and problem-solving skills with the ability to translate data into action
- Experience working in Agile environments
- Proven ability to work cross-functionally and influence senior stakeholders
- Excellent written and verbal communication skills
Responsibilities
- Define and lead the product vision, strategy, and roadmap for enterprise productivity and AI-enabled workplace solutions
- Evaluate and compare productivity platforms (e.g., Microsoft 365, Google Workspace) and their AI capabilities
- Translate business needs and user insights into scalable product strategies and recommendations
- Develop executive-level business cases, including ROI, productivity gains, and adoption strategies
- Conduct research and analysis across business units to understand workflows, pain points, and productivity gaps
- Leverage data, user feedback, and experimentation to identify opportunities for AI-driven improvements
- Partner with stakeholders to validate findings and refine product direction
- Own and manage the roadmap for multiple initiatives related to productivity tooling and AI adoption
- Prioritize initiatives based on business value, user impact, and technical feasibility
- Drive alignment across business, technology, UX, and data teams
- Lead requirements definition, including user stories, use cases, and acceptance criteria
- Maintain and prioritize product backlogs aligned to strategic goals
- Collaborate closely with engineering and design teams to deliver high-quality solutions
- Monitor progress, manage risks, and resolve blockers throughout the development lifecycle
- Lead product launches, including go-to-market strategy, rollout planning, and stakeholder communication
- Develop training materials and enablement strategies to drive adoption
- Track success metrics and user engagement to inform continuous improvement
- Establish KPIs and success metrics for productivity and AI adoption
- Monitor product performance and user feedback to drive enhancements
- Identify opportunities for innovation and continuous optimization
- Partner with senior leadership to influence strategic decisions
- Collaborate across product, engineering, UX, and business teams
- Mentor and guide junior product managers and team members
- Promote best practices in product management and agile delivery
Skills
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