Manish Nigam

CEO

Boston, MA, United States19 yrs 1 mo experience
Most Likely To SwitchHighly Stable

Key Highlights

  • 19+ years of AI transformation experience.
  • Recipient of MachineCon AI100 Award (2025).
  • Core member of AI Leadership Council.
Stackforce AI infers this person is a Fintech and AI transformation leader with extensive experience in enterprise-level strategies.

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Skills

Other Skills

Executive-level CommunicationTalent DevelopmentBusiness AnalyticsPredictive ModelingCredit CardsDebit CardsCustomer Lifecycle ManagementCustomer InsightMarketing StrategySales AnalyticsLogistic RegressionLinear RegressionCluster AnalysisTime Series AnalysisMarket Basket Analysis

About

AI and Data Science leader with 19+ years of experience delivering Enterprise AI transformation across Financial services. Proven track record applying the full spectrum of AI—Machine Learning, Optimization, NLP, Deep Learning, and Generative AI—to drive measurable value across Asset Management, Wealth, Insurance, and Banking. Recognized for shaping enterprise AI Strategy, scaling Global teams, and building Responsible AI Governance Frameworks that meet business and regulatory expectations. Combine deep technical breadth with senior-level leadership, partnering with senior leaders, including C-suite to accelerate AI adoption responsibly and at scale. Recipient of the MachineCon AI100 Award (2025), MIT Sloan MBA, and Frequent Industry Speaker on Enterprise AI Strategy, AI Operating models, Machine Learning, Generative AI, AI Agents, AI Governance and Responsible AI. A core member of the AI Leadership Council, leading key work streams to shape firm wide AI Strategy. CORE COMPETENCIES 1. AI Strategy & Leadership: Enterprise AI Roadmap, Operating Model Design, Transformation Leadership, Senior Leadership & C-Suite Engagement, Team Structuring & Scaling, Innovation Culture building 2. Generative AI: LLM Applications, RAG, Prompt Engineering, Orchestration, Evaluation & Guardrail Frameworks 3. Responsible AI: Model Risk, Explainability, Fairness/Bias assessment, Transparency, KRIs etc. 4. AI Engineering & Platforms: Cloud-native AI platforms, MLOps/LLMOps, Model lifecycle operations, Monitoring & Observability, Python/SQL/SAS, AWS (SageMaker, Athena, Redshift, Lambda, other AWS services), Data visualization (Tableau, Power BI) 5. Advanced Analytics & ML: NLP, Forecasting, Segmentation, Optimization, Classification, Deep learning, Statistics 6. Business Expertise: Asset Management, Wealth, Insurance, Banking, Marketing, Distribution & Investments

Experience

19 yrs 1 mo
Total Experience
6 yrs 4 mos
Average Tenure
16 yrs 5 mos
Current Experience

Ameriprise financial services, llc

8 roles

Vice President, AI & Data Science

Promoted

Mar 2026Present · 1 mo

Senior Director, AI & Data Science

Promoted

Aug 2022Mar 2026 · 3 yrs 7 mos

Director, Data Science

Promoted

Aug 2019Jul 2022 · 2 yrs 11 mos

Senior Manager, Data Science

Promoted

Aug 2016Jul 2019 · 2 yrs 11 mos

Manager, Data Science

Aug 2013Jul 2016 · 2 yrs 11 mos

Group Leader, Data Science

Promoted

Aug 2011Jul 2013 · 1 yr 11 mos

Team Leader, Data Science

Promoted

Jul 2010Jul 2011 · 1 yr

Senior Associate, Data Science

May 2009Jun 2010 · 1 yr 1 mo

Modelytics

3 roles

Senior Consultant , Analytics

Jan 2009May 2009 · 4 mos · Bengaluru, Karnataka, India

Consultant, Analytics

Promoted

Mar 2008Dec 2008 · 9 mos · Bengaluru, Karnataka, India

Business Analyst, Analytics

Feb 2007Feb 2008 · 1 yr · Bengaluru, Karnataka, India

Aditi technologies

Software Development Engineer

Jul 2006Feb 2007 · 7 mos

Education

MIT Sloan School of Management

Master of Business Administration - MBA

Indian Institute of Technology, Roorkee

Bachelor of Engineering - BE — Chemical Engineering

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