Transformation Lead

Pharma Benefit Management Or Medicaid Enterprise Systems Experince Is Mandatory, * Define and own the enterprise transformation strategy, roadmap, milestones, and success criteria across Testing Services

• Establish transformation priorities aligned to business objectives, service commitments, and continuous improvement goals.
• Define transformation communication and change adoption strategy across delivery organizations.
• Define transformation success metrics (e.g., process definition and implementations, quality, productivity, automation AI implementation,, talent refresh, ALM adoption, process compliance, efficiency gains).
• Drive clarity of roles, responsibilities, and decision rights across transformation and delivery teams.
• Define and Drive continuous improvement through metrics, data-driven insights, maturity assessments, and quality audits

• 15+ years of experience in testing, quality engineering, technology delivery, including atleast 2 large-scale transformation programs
• 15+ yrs of experience in Quality Engineering/Testing Delivery ownership delivering outcomes on productivity, quality and cost.
• Min 5 yrs in Healthcare with Medicaid programs is prefered
• Proven experience defining and governing enterprise transformation strategy
• Strong understanding of testing lifecycle (STLC), process definitions, automation, ALM tools, TMMi Model and operating model transformation
• Experience working in multi-vendor environments with clearly defined RACI-based delivery models
• Demonstrated leadership in driving change management, adoption, and continuous improvement

The pay range for this role is $110K Max per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience and location of the candidate.