About Sagility

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.

AI Project Manager will lead and deliver AI-driven and digital transformation initiatives across business functions. This role requires a strong blend of project management, business consulting, stakeholder engagement, data & AI understanding, and technology delivery expertise.
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:

Associate Director

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.
- Solid 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:

BangaloreIndia

📌 Associate Director (Bengaluru)
🏢 Sagility
📍 Bengaluru