Consultant, Ai Review
Current1. Develop material on AI & data readiness/Use cases/Architectures/Infrastructure insights.2. Run AI POC’s for technology and operations leveraging AWS services/tools and vendor solutions.
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@ey.com
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6 phones found area 917, 862, and 973
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LinkedIn matched
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Sam Mukherjee is listed as Enterprise Data Analytics Leader at Cepheid, based in United States. AeroLeads shows a work email signal at ey.com, phone signal with area code 917, 862, 973, and a matched LinkedIn profile for Sam Mukherjee.
Sam Mukherjee previously worked as Consultant, AI review at Cepheid and Data Product/Program Manager, Data Architect at Self-Employed. Sam Mukherjee holds B.S., Electrical Engineering from Rensselaer Polytechnic Institute.
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AeroLeads found 1 current-domain work email signal for Sam Mukherjee. Compare company email patterns before reaching out.
A proven data leader in enterprise data strategy, data management and governance, data analytics, artificial intelligence (AI) strategy and preparation, regulatory/risk data program delivery, systems and data implementation, large transformation program delivery, customer digital enablement & solutions, cloud migration, and process/operations optimization. Deep experience in building high performing global teams and implementing functional and data programs/products at banks, insurance, investment management, and healthcare institutions across the US and APAC regions.
Listed skills include Business Intelligence, Data Warehousing, Etl, Business Analysis, and 27 others.
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A career timeline built from the work history available for this profile.
Sunnyvale, Ca, Us
1. Develop material on AI & data readiness/Use cases/Architectures/Infrastructure insights.2. Run AI POC’s for technology and operations leveraging AWS services/tools and vendor solutions.
1. Define, develop and manage data products and capabilities on centralized and federated data platforms that improve data access/data governance and quality/self-service capabilities and serve key finance, operations and risk functions. 2. Assess data management maturity gaps and develop enterprise data strategies and roadmaps.
Everett, Wa, Us
1. Worked with engineering, product teams, operations, and finance to define/prioritize data products, fintech partner KPI’s, and internal data services/features. Developed enterprise data strategy/ roadmap/ program aligned with these priorities, including growing partner revenue, reducing operational costs, and serving regulatory/compliance needs. 2. Developed data governance organization/processes and a prioritized set of data quality definitions/ policies/procedures. Lead development of data taxonomy, data quality SLAs/rules/controls/remediation prototype solutions and services. 3. Lead the reengineering of management/financial reports and dashboards, and improved data availability by 2 days/data quality accuracy by over 50% for the top 5 partner settlement and reconciliation functions. (PowerBI, Azure ADF, Python) 4. Collaborated with partners and bank technology teams in the development of the target state data architecture and platform leveraging a new Azure environment and components. (GitHub, ADF, Azure SQL, Data Lake, Azure ML)
Los Angeles, Ca, Us
1. Lead enterprise data strategy and programs. Lead the Microsoft and Informatica account teams. 2. Lead $10m finance transformation program to develop an Enterprise Information Hub (EIH) to support the critical application/data integrations, regulatory data needs (MRA support/reporting/data lineage/metadata/data quality/controls), enterprise data governance and quality needs, and functional and system reconciliations. 3. Worked with executive sponsors, product teams, and cross-functional teams to develop program objectives, KPI’s, use cases, scope, cost/benefit analysis, roadmap, and hybrid Agile delivery approach. Managed internal, product and partner teams in the program delivery for the prioritized regulatory, customer digital, and Salesforce use cases. 4. Worked closely with functional CNB & RBC stakeholders, vendors, and architecture review board in developing a user-driven, elastic, scalable, and adaptable solution/data architecture that enabled simplified and efficient data provisioning, auditable/traceable change data capture (CDC), fit for purpose semantic data layers, and high performing data integration services. Developed data governance organization and data quality processes/policies. The solution incorporated the Hadoop (Sqoop-Hive-Navigator)/Azure (Data Lake-Purview)/Snowflake/Informatica (IICS Cloud)/ PowerBI platforms and solutions.
London, Gb
1. Held multiple leadership positions within the National Data Analytics practice, focusing on financial services. Promoted to practice Director focusing on large transformation programs. Coached, developed, and mentored practice members across US and India for leading practices around data management and governance, data analytics, continuous improvement and learning. 2. Lead assessments, roadmaps, and solution implementations for data management and governance, regulatory/risk controls, and data privacy programs (CCPA, GDPR) for financial services institutions.3. Lead on-time and under budget delivery of large platform modernization program at property & casualty insurer which enabled process, technology and data improvements across policy, claims, rating, operations, finance, and change management functions. Managed global teams and utilized the Hybrid-Agile method for the delivery of a new enterprise operational data store (ODS)(Oracle) integrated with the Guidewire policy and claims solutions. Worked with product teams, vendor architects, and the architecture review board in developing a secure, flexible and scalable solution/data architecture that enabled real time integration between ODS and Guidewire offerings (IBM MQ & IIB, Informatica), detailed/auditable CDC, functional reconciliation, and intra-day services for the downstream consumers.
London, Gb
1. Lead assessments, roadmaps, and solution implementations for data management and governance, regulatory/risk controls, and data privacy programs for banking, investment management, and insurance institutions. 2. Developed data architecture/products/services that integrated with investment/financial platforms (Summit, Aladdin). 3. Lead on-time and on budget delivery of large finance transformation program at top 5 US bank which optimized their risk business capabilities and processes. Worked with executives, stakeholders, and product/data/vendor teams in developing program objectives/approach/roadmap. Managed global teams in the delivery of the enterprise risk data warehouse (ERDW) leveraging Oracle and the financial services data model (OFSDF)/products. Developed a scalable, interoperable and secure data architecture that enabled near real-time integration between the ERDW and the OFSAA engine, and intra-day integration with source systems and the federated reporting/analytic/custom platforms.
Quick answers generated from the profile data available on this page.
Sam Mukherjee works for Cepheid.
Sam Mukherjee is listed as Enterprise Data Analytics Leader at Cepheid.
AeroLeads has found 1 work email signal at @ey.com for Sam Mukherjee at Cepheid.
AeroLeads has found 6 phone signal(s) with area code 917, 862, 973 for Sam Mukherjee at Cepheid.
Sam Mukherjee is based in United States while working with Cepheid.
Sam Mukherjee has worked for Cepheid, Self-Employed, Coastal Community Bank, City National Bank, and Ey.
You can use AeroLeads to view verified contact signals for Sam Mukherjee at Cepheid, including work email, phone, and LinkedIn data when available.
Sam Mukherjee holds B.S., Electrical Engineering from Rensselaer Polytechnic Institute.
Sam Mukherjee is listed with skills including Business Intelligence, Data Warehousing, Etl, Business Analysis, Data Integration, It Strategy, Sdlc, and Crm.
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