{"id":4196611,"url":"https://alion.io/job/optimum-solutions-aiml-project-manager","title":"AI/ML Project Manager","company":{"id":3800114,"name":"Optimum Solutions","domain":"theoptimum.net","url":"https://alion.io/company/optimum-infosystem","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Management","role_family":"Management","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Agile","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Confluence","optional":false},{"name":"Copilot","optional":false},{"name":"Databricks","optional":false},{"name":"Jira","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"ServiceNow","optional":false},{"name":"SQL","optional":false},{"name":"Waterfall","optional":false}],"status":"live","first_seen_at":"2026-11-12T20:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T20:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced AI/ML & Personalization Project Manager to drive end-to-end delivery of AI/ML, GenAI, data science, customer personalization, campaign decisioning, and automation initiatives. The role will coordinate business and technology stakeholders to ensure successful implementation, governance, operational readiness, and measurable business outcomes.\n\nKey Responsibilities:\nManage AI/ML, GenAI, data science, and personalization projects from requirement gathering and planning through development, testing, deployment, and post-production monitoring.\nDefine project scope, timelines, milestones, dependencies, KPIs, risks, and delivery plans.\nCoordinate with business, marketing, data science, AI/ML engineering, technology, architecture, security, risk, compliance, and operations teams.\nDrive project governance, maintain project plans, RAID logs, status reports, and stakeholder updates.\nCoordinate AI model development, validation, experimentation, deployment, monitoring, and lifecycle management.\nEnsure compliance with AI governance, responsible AI, data privacy, security, regulatory, and model risk requirements.\nDrive customer segmentation, personalized campaigns, recommendation models, next-best-action strategies, and campaign optimization.\nTrack project delivery and business outcomes, including customer engagement, conversion, revenue uplift, adoption, and operational efficiency.\nManage vendor deliverables and ensure smooth transition of implemented solutions into BAU operations.\n\nRequired Experience & Skills:\n8+ years of experience in project management, technology delivery, digital transformation, data, analytics, or AI-related initiatives.\nProven experience managing AI/ML, GenAI, data science, personalization, customer analytics, or campaign optimization projects.\nPractical understanding of ML concepts, feature engineering, model validation, experimentation, MLOps, and model lifecycle management.\nKnowledge of customer segmentation, recommendation engines, propensity models, next-best-action, A/B testing, and campaign measurement.\nUnderstanding of AI governance, responsible AI, data privacy, model risk, security, and regulatory requirements.\nStrong stakeholder management, project planning, communication, risk management, and executive reporting skills.\nExperience with Agile, Scrum, Waterfall, or hybrid delivery methodologies.\nBanking, financial services, or fintech experience is preferred.\n\nPreferred Tools & Certifications:\nProject Management: Jira, Confluence, Azure DevOps, MS Project.\nAI/ML Platforms: Azure AI, Azure Databricks, Azure Machine Learning, MLflow.\nOther Tools: ServiceNow, Microsoft Copilot, Python, SQL, Excel, and campaign management platforms.\nCertifications: PMP, PRINCE2, SAFe, Agile, PMI-CPMAI, or relevant AI/GenAI certifications.\n\nKey Success Measures:\nSuccessful and timely delivery of AI/ML and personalization initiatives from ideation to production.\nMeasurable improvements in customer engagement, conversion, revenue, and operational efficiency.\nCompletion of governance, risk, security, and compliance approvals.\nEffective stakeholder management, adoption, and smooth BAU transition.\nSkills\nAI, Agile, Azure AI, Azure Machine Learning, Databricks, Gen AI, ML, MLOps, MLflow, PMP, PRINCE2, Project Management, SAFe, Scrum","description_format":"text","description_chars":3319,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-12T20:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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