{"id":4247831,"url":"https://alion.io/job/optimum-solutions-project-manager-aiml","title":"Project Manager - AI/ML","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":"2026-11-13T11:04:40Z","employer_posted_date":null,"last_verified_at":"2026-11-13T11:04:40Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Role Overview:\n\nWe 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.\n\nThe role will coordinate business and technology stakeholders to ensure successful implementation, governance, operational readiness, and measurable business outcomes.\n\nKey Responsibilities:\n\n- Manage AI/ML, GenAI, data science, and personalization projects from requirement gathering and planning through development, testing, deployment, and post-production monitoring.\n\n- Define project scope, timelines, milestones, dependencies, KPIs, risks, and delivery plans.\n\n- Coordinate with business, marketing, data science, AI/ML engineering, technology, architecture, security, risk, compliance, and operations teams.\n\n- Drive project governance, maintain project plans, RAID logs, status reports, and stakeholder updates.\n\n- Coordinate AI model development, validation, experimentation, deployment, monitoring, and lifecycle management.\n\n- Ensure compliance with AI governance, responsible AI, data privacy, security, regulatory, and model risk requirements.\n\n- Drive customer segmentation, personalized campaigns, recommendation models, next-best-action strategies, and campaign optimization.\n\n- Track project delivery and business outcomes, including customer engagement, conversion, revenue uplift, adoption, and operational efficiency.\n\n- Manage vendor deliverables and ensure smooth transition of implemented solutions into BAU operations.\n\nRequired Experience & Skills:\n\n- 8+ years of experience in project management, technology delivery, digital transformation, data, analytics, or AI-related initiatives.\n\n- Proven experience managing AI/ML, GenAI, data science, personalization, customer analytics, or campaign optimization projects.\n\n- Practical understanding of ML concepts, feature engineering, model validation, experimentation, MLOps, and model lifecycle management.\n\n- Knowledge of customer segmentation, recommendation engines, propensity models, next-best-action, A/B testing, and campaign measurement.\n\n- Understanding of AI governance, responsible AI, data privacy, model risk, security, and regulatory requirements.\n\n- Strong stakeholder management, project planning, communication, risk management, and executive reporting skills.\n\n- Experience with Agile, Scrum, Waterfall, or hybrid delivery methodologies.\n\n- Banking, financial services, or fintech experience is preferred.\n\nPreferred Tools & Certifications:\n\n- Project Management: Jira, Confluence, Azure DevOps, MS Project.\n\n- AI/ML Platforms: Azure AI, Azure Databricks, Azure Machine Learning, MLflow.\n\n- Other Tools: ServiceNow, Microsoft Copilot, Python, SQL, Excel, and campaign management platforms.\n\n- Certifications: PMP, PRINCE2, SAFe, Agile, PMI-CPMAI, or relevant AI/GenAI certifications.\n\nKey Success Measures:\n\n- Successful and timely delivery of AI/ML and personalization initiatives from ideation to production.\n\n- Measurable improvements in customer engagement, conversion, revenue, and operational efficiency.\n\n- Completion of governance, risk, security, and compliance approvals.\n\n- Effective stakeholder management, adoption, and smooth BAU transition.\nSkills\nIT Project Management, AI Project Management, Machine Learning, Artificial Intelligence","description_format":"text","description_chars":3369,"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":["Artificial Intelligence","IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-11-13T13:11:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring 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