The Role
Lead the vision, strategy, roadmap, delivery, adoption, and optimization of enterprise digital products and shared platforms. Drive cloud modernization, AI integration, automation, cybersecurity, governance, and measurable value realization across government entities. Manage stakeholders, vendors, budgets, risks, procurement, change management, and executive reporting while building high-performing product teams and supporting innovation partnerships.
Summary Generated by Built In
Overview:
Lead the end-to-end product lifecycle from vision and strategy through to delivery and
utilization of enterprise digital products including highly scaled shared platforms. Drive product
transformation through design-thinking, data-driven decision making, automation including Gen
AI, Agentic AI, and human-centered design.
Core Responsibilities:
Lead the end-to-end product lifecycle from vision and strategy through to delivery and
utilization of enterprise digital products including highly scaled shared platforms. Drive product
transformation through design-thinking, data-driven decision making, automation including Gen
AI, Agentic AI, and human-centered design.
Core Responsibilities:
- Own the product vision, strategy, business case, roadmap, and value realization aligned with government priorities and strategic outcomes.
- Translate business & user requirements, and policies into scalable product capabilities, integrated solutions, and prioritized product roadmaps.
- Lead the end-to-end product lifecycle using modern product management practices, Agile, Lean, DevSecOps, and continuous discovery and delivery approaches, from ideation through delivery, adoption, optimization, and evolution.
- Prioritize product backlogs based on customer insights, analytics, business value, and strategic objectives.
- Collaborate with stakeholders including but not limited to enterprise architecture, cybersecurity, data, legal, procurement, UI/UX, and business stakeholders to design and deliver secure, scalable, and integrated products.
- Champion cloud-native, API-first, secure-by-design, and reusable platform capabilities, ensuring alignment with cloud migration, data management, sovereignty, cybersecurity, and government compliance requirements.
- Embed AI, Generative AI, Agentic AI, automation, and analytics into product capabilities, including defining AI use cases, governance frameworks, responsible AI controls, and ROI measurement
- Lead modernization initiatives, including legacy platform assessment, rationalization, and decommissioning aligned with technology strategy and value realization objectives.
- Manage vendors, budgets, risks, procurement activities, and executive reporting to ensure successful product delivery.
- Drive enterprise adoption, change management, stakeholder engagement, and measurable benefits realization across government entities.
- Monitor and improve product performance where deemed necessary, through KPIs, SLAs, XLAs, adoption metrics, utilization optimization, and continuous improvement initiatives.
- Build and mentor high-performing cross-functional product teams that advance innovation, collaboration, and delivery excellence.
- Support co-creation labs, innovation ecosystems, and public-private partnerships to accelerate innovation, validate emerging solutions, and enhance product capabilities.
- Bachelor’s degree in computer science, engineering, artificial intelligence, information systems, or a related digital discipline. Master’s degree preferred.
- Relevant product or project management certifications preferred.
- 5-7 years of experience in digital product management, with 3+ years leading enterprise-scale or government platforms.
- Proven experience delivering AI-enabled, cloud-based, and SaaS products within complex enterprise environments.
- Strong understanding of Generative AI, LLMs, Agentic AI, RAG, prompt engineering, AI governance, and MLOps concepts.
- Experience applying modern product management practices, including Agile, Scrum, OKRs, Design Thinking, product analytics, and experimentation.
- Strong stakeholder management, communication, leadership, and executive presentation skills.
Skills Required
- Bachelor's degree in computer science, engineering, artificial intelligence, information systems, or a related digital discipline
- Master's degree
- Relevant product or project management certifications
- 5-7 years of experience in digital product management
- At least 3 years leading enterprise-scale or government platforms
- Experience delivering AI-enabled, cloud-based, and SaaS products in complex enterprise environments
- Understanding of Generative AI, LLMs, Agentic AI, RAG, prompt engineering, AI governance, and MLOps
- Experience with Agile, Scrum, OKRs, Design Thinking, product analytics, and experimentation
- Strong stakeholder management, communication, leadership, and executive presentation skills
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
NorthBay is an AWS Premier Partner focused on Database & Application migrations, data & analytics, DevOps & DataOps, application modernization and ML/Ai. Our practice areas include big data and analytics, machine learning, artificial intelligence and database migrations.
%20.jpeg)
