hiring a consulting-focused Project Manager to lead delivery of business process transformation projects. The role requires a techno-functional leader with 8–12 years of experience managing business process transformation programs, strong client-facing skills, and the ability to translate strategy into executable delivery plans. The Project Manager will partner closely with the Strategy Transformation Director to ensure projects deliver measurable business outcomes, on time and within budget. Profile of a successful candidate • Experience: 8–12 years of professional experience managing techno-functional projects focused on business process transformation and digital initiatives. Prior experience in consulting, professional services, or in-house transformation programs preferred. • Education: Advanced degree preferred (MBA, MS, or equivalent) or strong technical undergraduate degree from a top-tier institution. Certifications such as PMP, PRINCE2, Agile (CSM/PSM) or equivalent are desirable. • Technical skills: Demonstrated experience delivering enterprise-scale digital and AI/ML based transformation projects; Strong understanding of business process mapping, process re-engineering, and operationalization of new business models. Comfortable with project tools and practices (JIRA, Confluence, MS Project, or equivalent). • Domain skills: Experience in Healthcare, Life Sciences, or Pharmaceuticals is an advantage but not mandatory. • Consulting and leadership skills: Proven ability to work with senior business leaders to translate strategy into actionable delivery plans. Excellent stakeholder management, communication, and presentation skills. Strong analytical and problem-solving skills; ability to use data and metrics to drive decisions. Comfortable working in fast-paced, unstructured environments and managing multi-disciplinary teams. Key Responsibilities • Project delivery and governance: Lead end-to-end delivery of digital and AI transformation projects, including planning, scheduling, resource allocation, risk management, quality assurance, and project close-out. • Client engagement: Act as the primary project manager for client engagements; run status updates, steering committees, and ensure clear, timely communication with client stakeholders including senior business and technology leaders. • Solution coordination: Coordinate cross-functional teams (business consultants, enterprise architects, data scientists, AI engineers, product teams, and vendors) to translate strategic requirements into technical and operational solutions. • Scope, budget and profitability: Manage project scope, budgets, forecasts, and profitability; identify and escalate scope changes and commercial risks; support contract and SOW negotiations as needed. • Delivery of AI/ML initiatives: Oversee technical delivery aspects of AI/ML projects—data ingestion, model development handoffs, validation, deployment, and monitoring—ensuring alignment with business objectives and compliance requirements

 Process transformation and change management: Drive business process re-engineering, define target operating models, and lead change management and adoption activities (training, communications, stakeholder enablement). • Quality and compliance: Ensure deliverables meet quality standards and regulatory or compliance requirements relevant to the client (healthcare, life sciences, or other regulated industries where applicable). • Performance measurement: Define and track KPIs and business outcomes; use data-driven insights to course-correct and demonstrate measurable impact. • People leadership and mentoring: Coach and mentor junior project staff; help recruit and retain high-performing consulting talent; foster a collaborative, outcomes-focused team culture. • Business development support: Contribute to proposals, solution scoping, and client pitches; identify cross-sell and upsell opportunities within existing accounts. Role Details • Location and travel: Based in India – preferably NCR or Bengaluru; travel to client sites (domestic or international) as required. • Engagement model: Client-facing role with possibility of multiple concurrent projects / workstreams. • Performance measures: Delivery on-time and on-budget, client satisfaction, measurable business outcomes, team development, and contribution to business development.