{"id":2410861,"url":"https://alion.io/job/hcltech-program-manager-7","title":"Program Manager","company":{"id":225,"name":"HCLTech","domain":"hcltech.com","url":"https://alion.io/company/hcltech","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Management","role_family":"Management","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Charlotte, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":166000,"period":"year","method":"role_country_seniority_unknown","sample_n":10060},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Computer Vision","optional":false},{"name":"Machine Learning","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-10-13T02:06:48Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T02:06:48Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nWe are seeking an AI & Advanced Analytics Program Manager to lead a portfolio of fast-moving continuous-improvement initiatives, proof-of-concept projects, and emerging business requests.\nThe role will support a dedicated AI continuous-improvement team that operates similarly to an AI lab or AI factory. Unlike a traditional product team focused on one long-term strategic solution, this team will manage a changing pipeline of smaller projects, rapid proofs of concept, urgent executive requests, quick wins, and initiatives that may either scale or conclude after validation.\nThe Program Manager will be the primary business-facing contact for this portfolio and will coordinate business stakeholders, technical teams, contractors, and delivery partners to move initiatives from intake through execution, demonstration, assessment, and closure or scale-up.\nKey Responsibilities\nDemand intake and business engagement\nServe as the first point of contact for business stakeholders submitting AI, advanced analytics, and continuous-improvement opportunities.\nEngage business teams to understand the problem, expected outcome, urgency, constraints, and success criteria.\nStructure incoming requests into clearly defined projects or proof-of-concept initiatives.\nFacilitate requirements-gathering and project-intake discussions.\nClarify project scope, stakeholders, dependencies, deliverables, and decision points.\nHelp distinguish quick-win opportunities from initiatives requiring broader strategic investment.\nProgram and project management\nManage a portfolio of concurrent AI, analytics, and continuous-improvement projects.\nDevelop project plans, milestones, delivery schedules, action trackers, governance routines, and status reports.\nCoordinate rapid proof-of-concept delivery while maintaining visibility into scope, risk, quality, and stakeholder expectations.\nTrack project progress, dependencies, blockers, decisions, risks, and outcomes.\nEnsure urgent initiatives move forward without disrupting the commitments of established product teams.\nCoordinate projects that may scale after successful validation as well as projects that conclude after the proof-of-concept stage.\nMaintain an organized view of portfolio demand, active work, resource needs, and upcoming priorities.\nTeam and contractor coordination\nCoordinate internal teams, delivery partners, and contractors assigned to continuous-improvement initiatives.\nSupport the rapid mobilization and demobilization of project teams based on changing demand.\nAlign the appropriate technical capabilities to each business request.\nCoordinate work across AI architects, data scientists, analytics specialists, developers, product managers, and business subject-matter experts.\nEstablish clear responsibilities, deliverables, interfaces, and escalation paths.\nHelp the dedicated continuous-improvement team operate independently while remaining aligned with the wider digital-thread portfolio.\nStakeholder communication and governance\nPrepare and present project and portfolio status updates to leadership.\nCommunicate progress, outcomes, risks, decisions, resource needs, and recommendations clearly.\nFacilitate steering discussions, working sessions, demonstrations, and project reviews.\nTranslate technical progress into concise business updates.\nMaintain effective relationships with US-based business stakeholders and globally distributed delivery teams.\nEscalate issues requiring leadership intervention and drive timely decisions.\nEnsure expectations remain aligned throughout discovery, proof of concept, delivery, and closure.\nDelivery and outcome management\nCoordinate the delivery of AI and analytics proofs of concept within short execution cycles.\nEnsure that each initiative has clearly documented objectives and completion criteria.\nOrganize demonstrations, stakeholder reviews, and outcome assessments.\nCapture results, lessons learned, reusable assets, and recommendations.\nSupport decisions on whether a successful proof of concept should be scaled, transferred to a product team, enhanced further, or closed.\nPromote repeatable delivery practices without limiting the flexibility required for experimentation and rapid execution.\nSkill Requirements\nDemonstrated experience project-managing or program-managing advanced analytics, artificial intelligence, machine learning, or data-driven initiatives.\nStrong understanding of the AI and analytics project lifecycle.\nAbility to lead requirement intake, business engagement, project planning, delivery coordination, status reporting, and executive communication.\nExperience managing multiple simultaneous initiatives with changing priorities.\nStrong stakeholder-management skills, particularly with business and leadership teams.\nAbility to coordinate multidisciplinary technical teams without needing to serve as the primary solution architect or developer.\nExcellent presentation, facilitation, written communication, and executive-reporting skills.\nStrong risk, issue, dependency, and action-management discipline.\nAbility to operate effectively in a flexible, fast-paced, proof-of-concept-oriented environment.\nExperience working with contractors, service providers, or globally distributed delivery teams.\nPreferred Technical and Domain Knowledge\nPractical understanding of AI, machine learning, advanced analytics, and data-product concepts.\nFamiliarity with proof-of-concept delivery and rapid experimentation.\nExposure to manufacturing, continuous improvement, quality, shop-floor operations, or industrial use cases.\nFamiliarity with computer vision, equipment analytics, work planning and scheduling, or operational analytics.\nUnderstanding of how AI initiatives progress from idea and discovery to proof of concept, validation, and scaled deployment.\nExposure to enterprise AI or analytics platforms, including partner-based platforms such as Palantir, is beneficial but not stated as mandatory.\nExperience coordinating AI architects, product managers, data scientists, engineering teams, and business stakeholders.\nOther Requirements\nRecommended Education and Experience\nThe meeting does not define mandatory thresholds. For candidate screening, the following can be treated as recommended criteria:\nBachelor’s degree in Engineering, Computer Science, Data Science, Information Systems, Business, Operations, or a related field.\nRelevant project or program management experience, including experience leading AI or advanced analytics initiatives.\nProject-management certification such as PMP, PRINCE2, Agile, or Scrum is beneficial but should not replace demonstrated delivery experience.\nExperience working in a US business-facing role and coordinating global teams is preferred.\nRole Boundaries\nThe role will own\nBusiness-facing intake and stakeholder engagement\nProject and portfolio planning\nRequirements coordination\nStatus reporting and leadership communication\nContractor and delivery-team coordination\nRisk, issue, dependency, and action management\nProof-of-concept governance\nDemonstration and outcome reviews\nRecommendations for closure, continuation, or scale-up\nTechnical and portfolio leadership will retain ownership of\nOverall digital-thread strategy\nEnterprise AI architecture\nTechnical standards and architecture decisions\nProduct strategy for established solution areas\nFinal portfolio priorities and investment decisions\nDetailed model, platform, and software engineering\nSuccess Measures\nNew opportunities are assessed and mobilized efficiently.\nBusiness requirements and expected outcomes are clearly documented.\nProofs of concept are delivered with transparent status, scope, risks, and decisions.\nLeadership receives clear and timely portfolio updates.\nContractors and technical resources are aligned effectively to changing demand.\nContinuous-improvement initiatives do not distract established product teams from existing commitments.\nProject outcomes and recommendations are documented consistently.\nSuccessful initiatives have a clear path toward scale, transition, or ownership.\nInitiatives that do not demonstrate sufficient value are closed in a 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