Srinivasan Sarman
Solution Architect - Data & Cloud @BMO
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WORK HISTORY
Solution Architect - Data & Cloud @BMO
EDUCATION
University of Madras
Master of Computer Applications (MCA), Computer Applications
University of Madras
Bachelor's degree, Computer Applications
St. Thomas Higher Secondary School
+2, Maths, Physics, Chemistry, CS
SKILLS
ABOUT SRINIVASAN SARMAN
Accomplished results-oriented IT professional with a successful track record of leading Quality Engineering COE, engagements, business transformation and delivery of IT solutions. Expertise in heading QA organization and QA COE, Automation and Data Enablement, Engagement and Program Test Management, Planning and Execution. Bring strategic thinking, analytical focus and strong project management experience to an engagement. Determined and creative problem-solver, adept at forming partnerships and leading teams of peers through building consensus. Areas of Expertise:QA COE build and executionQA Transformation, Automation and EnablementData EnablementEngagement & Program ManagementDelivery TransformationDigital TransformationP & L Management for large IT engagementsAI Enablement and operationalizationSDLC Methodologies: Waterfall, AgileTest Data Management (Delphix & CA TDM)19+ Years of IT Exp with a proven ability in managing major programs/client in Financial industry like: • Implementation ranging around $130M+- key ones to mention GW PC & BC implementation in TDi, iFAST in IFDS, MI/BI, Merger and Acquisition, Complex integration across wealth TDI, Data migration• Modernization ranging ~$150M+- key areas Straight Through Processing (TPP – EBIX),Vantage WMA in MassMutual (USA), Automation COE for Metlife• Transformation ~ QA and Data transformation in TDI || QA transformation and building QA COE for IFDS || Automation transformation in Metlife Spearheaded automation COE for multiple clients like Metlife, Massmutual, IFDS || Enabled QA COE for client like IFDS, Massmutual || Led digital transformation and legacy modernization in TDI and Massmutual || People and Process and Cost optimization
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