Job Description – PEx
Transformation and Agentic/GenAI Specialist will lead initiatives focused on driving continuous improvement, leveraging Lean/Six Sigma principles, and integrating Generative AI solutions within F&A / KPO/BPO operations. This role requires a strong understanding of process optimization, a keen eye for identifying process transformation opportunities, and the ability to articulate complex problems and solutions effectively.
Drive continuous improvement culture through training, co-ordination and implementation of principles of Lean/Six Sigma in day-to-day operations in Finance and accounts domain
Key Responsibilities:
· Drive a continuous improvement culture through training, coordination, and implementation of Lean/Six Sigma principles in day-to-day F&A operations.
· Understand and articulate problems/issues in a timely and accurate manner from delivery/operations teams. Lead and execute process improvement projects using Six Sigma, Lean, and other continuous improvement methodologies.
· Lead and participate in exploring (Process Assessment) and implementing AI/GenAI/Agentic AI-driven solutions for problems and process bottlenecks.
· Prepare business cases, project charters, Automation Assessments (RPA), Business Requirement Documents (BRD), and use cases, with a focus on GenAI integration where applicable.
· Actively contribute to change implementation initiatives on the floor, including the adoption of new technologies and AI tools.
· Conduct Baselining of Metrics, Cost Benefit Calculation, Analytical intervention to provide insights for process improvements.
· Report issues related to problems/opportunities to transformation leaders, highlighting potential AI/ GenAI applications.
· Play a pivotal role in executing the transformation governance model to build a continuous improvement and innovation culture.
· Lead and mentor a team of specialists, fostering their growth in transformation methodologies and GenAI applications.
Profile of Desired Candidate:
· Must have 10+ years of work experience with a minimum of 4 years of relevant experience in process improvement, Business transformation
· Must be certified with working knowledge on AI, GEN AI, Agentic AI, RPA tools
· Preferred to be a certified black belt from a reputed certifying body/organization (e.g., ASQ or equivalent) with excellent command in Lean/Six Sigma methodology.
· Must have experience in F&A domain ( PTP, OTC, RTR)
· Demonstrated experience in implementing or managing GenAI projects or solutions.
· Must have excellent analytical, presentation, & communication skills.
· Should be a self-starter with a proactive approach to identifying and implementing innovative solutions.
· Must have experience in managing customer independently
Experience: 10+ years
Education: UG - Any Graduate/ PG - Any Specialization (Analytics, Data Science, Transformation etc) – preferably from tire 1 or 2 MBA colleges
Industry Type: Finance and Accounts
Certification: Certified in all or few - AI, GEN AI, Agentic AI, RPA tools
LSS Black Belt/ Green Belt Certification (preferred)
Location & mode of working: Hyderabad – 5 days WFO
About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
