{"id":3763702,"url":"https://alion.io/job/adt-ai-product-lead","title":"AI Product Lead","company":{"id":1765638,"name":"ADT","domain":"adt.com","url":"https://alion.io/company/adt-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":37,"ghost_share":0,"stale_share":0.892,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Product","role_family":"Product","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boca Raton, United States","Irving, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":true},{"name":"Copilot","optional":true},{"name":"GCP","optional":true},{"name":"Gemini","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"ServiceNow","optional":true},{"name":"UiPath","optional":true}],"status":"closed","first_seen_at":"2026-11-04T18:31:13Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-10T03:56:50Z","board_verified":false,"closed_at":"2026-11-10T03:56:50Z","days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"Summary:\nThe AI Product Lead serves as the bridge between assigned business functions and the AI Center of Excellence. This role identifies high-value business problems, translates them into viable AI and automation products, and leads each opportunity from discovery through pilot, adoption, and measurable value realization.\nThe AI Product Lead begins with the business problem, not the technology. The role determines whether the appropriate solution is process redesign, traditional automation, generative AI, an AI agent, predictive AI, a purchased product, or no technology solution at all.\nThis role will support business functions such as HR, Supply Chain, Legal, Marketing, Field Operations Support and Sales Operations.\nPrimary Responsibilities:\nBuild trusted partnerships with functional leaders, process owners, frontline employees, and technology teams.\n\nLead discovery workshops to understand business objectives, user needs, process pain points, constraints, and opportunities.\n\nTranslate loosely defined ideas into clear problem statements, business-outcome hypotheses, product requirements, and prioritized roadmaps.\n\nEstablish current-state baselines, including cost, effort, volume, cycle time, quality, risk, and user experience.\n\nDevelop credible business cases covering expected value, delivery cost, resource needs, dependencies, risks, and success measures.\n\nDefine the minimum viable product, user experience, backlog, acceptance criteria, pilot scope, and product roadmap.\n\nPartner with Applied AI Specialists, solution architects, data teams, automation developers, and platform teams throughout delivery.\n\nCoordinate required reviews with Legal, Privacy, Cybersecurity, Risk, Compliance, Architecture, and AI Governance.\n\nLead user-acceptance testing, controlled pilots, release readiness, adoption, communications, and change enablement.\n\nMeasure product performance and realized benefits, recommending whether to scale, improve, redesign, purchase, defer, or stop.\n\nIdentify reusable capabilities and patterns that can be applied across multiple business functions.\n\nRequired Experience and Capabilities:\nBachelor's degree in Computer Science, Information Systems, Engineering, Analytics, Five or more years of experience in digital product management, intelligent automation, process transformation, technology delivery, or a related discipline.\n\nDemonstrated ownership of enterprise products or solutions from opportunity discovery through launch, adoption, and value realization.\n\nStrong product-management capabilities, including product strategy, roadmaps, requirements, user stories, backlog prioritization, MVP definition, and success metrics.\n\nExperience conducting process discovery and translating business needs into practical technology solutions.\n\nAbility to develop business cases, quantify benefits, estimate resource requirements, and communicate investment trade-offs.\n\nWorking knowledge of generative AI, AI agents, RPA, workflow automation, APIs, system integration, enterprise data, and cloud-based AI platforms.\n\nAbility to collaborate effectively with engineering, architecture, data, security, risk, Legal, Privacy, and change-management teams.\n\nStrong executive communication, workshop facilitation, storytelling, negotiation, and stakeholder-management skills.\n\nExperience delivering solutions in an Agile or iterative product-development environment.\n\nPreferred Qualifications:\nExperience delivering generative AI, agentic AI, intelligent automation, predictive AI, or enterprise workflow products.\n\nFamiliarity with platforms such as Google Gemini Enterprise, Google Cloud, Microsoft Copilot, Microsoft Azure, UiPath, Salesforce, ServiceNow, or Oracle.\n\nExperience operating in a regulated or control-intensive enterprise environment.\n\nFamiliarity with responsible AI, data governance, human-in-the-loop controls, model evaluation, privacy, security, and auditability.\n\nExperience with design thinking, Lean or Six Sigma, process mining, user research, and organizational change management.\n\nRelevant credentials in product management, Agile delivery, cloud, AI, automation, or process improvement.\n\nIdeal Candidate Profile:\nBusiness- and outcome-oriented: Starts with the problem, user, and measurable result rather than a preferred AI tool.\n\nComfortable with ambiguity: Can create structure from incomplete requirements and immature ideas.\n\nTechnically fluent: Understands AI and automation sufficiently to make informed product decisions and work credibly with technical teams.\n\nCommercially minded: Understands implementation cost, platform consumption, licensing, internal capacity, and benefit realization.\n\nGovernance-conscious: Integrates privacy, security, responsible AI, human oversight, and controls into product design.\n\nHands-on: Personally leads discovery, develops product artifacts, manages the backlog, supports pilots, and resolves delivery issues.\n\nAdoption-focused: Recognizes that a technically successful solution creates no value unless users adopt it and business processes change.\n\nDecisive: Can recommend proceeding, redesigning, buying, deferring, or stopping based on evidence.\n\nMeasures of Success:\nQuality and strategic alignment of the functional AI and automation pipeline.\n\nPercentage of opportunities supported by defined owners, baselines, outcomes, and success measures.\n\nSpeed from opportunity identification to validated MVP decision.\n\nAdoption and user satisfaction for deployed products.\n\nFinancial, operational, risk, and capacity benefits realized.\n\nReusable product patterns created across functions.\n\nPercentage of delivery completed through internal capability versus external implementation dependency.","description_format":"text","description_chars":5706,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Security Services","Access Control & Alarm 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