Sagility combines industry-leading technology and transformation-driven BPM services with decades of healthcare domain expertise to help clients draw closer to their members. The company optimizes the entire member/patient experience through service offerings for clinical, case management, member engagement, provider solutions, payment integrity, claims cost containment, and analytics. Sagility has more than 25,000 employees across 5 countries.
The ideal candidate will have hands-on experience managing end-to-end AI, analytics, automation, and digital transformation projects, translating business challenges into AI-enabled solutions, and driving measurable business outcomes.
Job title:
Job Description:
Role Overview
Job Title: Associate Director/Sr. Manager - Projects
Level: Associate Director/Sr. Manager
Department: Enterprise Application Management
Location: Bangalore
Reporting To: Lead – Engagement & Solutions
Experience: 8–12+ years
Key Responsibilities
1. AI & Digital Transformation Leadership
• Lead end-to-end delivery of AI, GenAI, analytics, automation, and digital transformation initiatives.
• Partner with business stakeholders to identify opportunities for AI adoption and process transformation.
• Define project vision, objectives, business cases, KPIs, and success metrics.
• Drive AI use case prioritization based on business value, feasibility, and implementation complexity.
• Ensure alignment between business goals, technology capabilities, and delivery outcomes.
2. Project & Program Management
• Manage multiple AI and digital transformation projects simultaneously.
• Develop project plans, timelines, resource allocation, budgets, and risk mitigation strategies.
• Track project progress, dependencies, milestones, and deliverables.
• Facilitate governance meetings, steering committees, and executive status reporting.
• Ensure projects are delivered on time, within budget, and with high quality.
3. Functional & Business Consulting
• Gather and document business requirements, process maps, user journeys, and functional specifications.
• Conduct workshops with business leaders to identify process inefficiencies and automation opportunities.
• Support change management, user adoption, training, and business readiness activities.
• Drive value realization by tracking business benefits post-implementation.
4. AI &Technical Delivery Oversight
• Collaborate with Data and BI Engineers, AI Engineers, Architects, Product Managers, and Business SMEs.
• Understand AI/ML lifecycle, GenAI architectures, RAG frameworks, LLMs, and intelligent automation solutions.
• Review solution designs, data requirements, integration approaches, and deployment plans.
• Ensure adherence to AI governance, security, compliance, and responsible AI principles.
• Coordinate model deployment, testing, monitoring, and performance evaluation activities
5. Stakeholder Management & Communication
• Act as the primary liaison between business stakeholders, leadership, and technology teams.
• Manage expectations and communicate project status, risks, and recommendations effectively.
• Build strong relationships across business units and technology teams.
• Prepare clear and concise documentation including BRDs, user stories, wireframes, and solution summaries.
• Present findings, prototypes, and solution approaches to stakeholders for review and approval.
• Support change management and user training during deployment
Key Skills & Competencies
Functional
• Business Process Transformation
• Requirements Gathering & Solution Design
• Product Thinking & Value Realization
• Change Management & User Adoption
• Stakeholder & Executive Communication
• Risk & Dependency Management
• Vendor and Partner Management
• Strategic Problem Solving
• Financial and Budget Management
Technical
• AI/ML project lifecycle
• Generative AI and LLM concepts
• Prompt engineering fundamentals
• Retrieval-Augmented Generation (RAG)
• AI agents and workflow automation
• Data engineering fundamentals
• Cloud platforms (AWS, Azure, or GCP)
• API integrations
• Agile, Scrum, Kanban
• Jira, Confluence, Azure DevOps
Qualifications & Experience
• Bachelor’s degree in business, Data Analytics, Computer Science, Information Systems, or a related field
• Master's degree (MBA, MS, or equivalent) preferred.
• 8–12+ years of experience in IT, Digital Transformation, Data, or AI programs.
• Proven experience leading enterprise-scale AI and digital transformation initiatives.
• Strong experience managing cross-functional and geographically distributed teams.
Nice to Have
• MLOps concepts
• AI governance frameworks
• Model monitoring
• Data governance
• Python fundamentals
• Vector databases
• Familiarity with enterprise source systems such as Workday, SAP, Salesforce, or ERP platforms
Location:
Skills Required
- Bachelor's degree in business, Data Analytics, Computer Science, Information Systems, or related field
- Master's degree (MBA, MS, or equivalent)
- 8-12+ years of experience in IT, Digital Transformation, Data, or AI programs
- Proven experience leading enterprise-scale AI and digital transformation initiatives
- Experience managing cross-functional and geographically distributed teams
- Experience with AI/ML project lifecycle and GenAI/LLM concepts
- Knowledge of Prompt engineering and Retrieval-Augmented Generation (RAG)
- Understanding of data engineering fundamentals and integration/data requirements
- Experience with cloud platforms (AWS, Azure, or GCP)
- Experience with API integrations
- Experience in project/program management: planning, budgeting, risk mitigation, and governance
- Experience with Agile delivery and tools (Agile, Scrum, Kanban, Jira, Confluence, Azure DevOps)
- Strong stakeholder management, executive communication, and change management skills
- Product thinking, value realization, and financial/budget management experience
- Vendor and partner management experience
- MLOps concepts
- AI governance frameworks and model monitoring
- Data governance
- Python fundamentals
- Vector databases
- Familiarity with enterprise source systems (Workday, SAP, Salesforce, ERP)
What We Do
Sagility is a technology-led healthcare operations and business process optimization partner serving payers and providers. It combines healthcare expertise with artificial intelligence, intelligent automation, analytics, cloud platforms, consulting, and BPaaS to streamline claims, membership, clinical, payment-integrity, provider-network, and revenue-cycle workflows across the healthcare ecosystem. Its goal is to reduce administrative costs, improve member and provider experiences, and support better clinical and financial outcomes.
