Harihara Sai Varanasi

About Harihara Sai Varanasi

What happens when you bring together AI innovation, enterprise-scale product strategy, and hands-on delivery excellence? You get a Product Leader who builds intelligent systems that scale.With 12+ years of experience in AI-driven Product Management, I specialise in transforming enterprise platforms into data-led, automated ecosystems. My work bridges the gap between AI strategy and real-world impact, integrating machine learning, automation, and user-centric design into complex SDLC environments. Key Highlights:Defined and executed AI product roadmaps across SaaS, Cloud, and Enterprise Integration platforms.Delivered AI solutions using Watsonx AI, LLM-based automation, and predictive analytics to enhance decision-making and customer value.Partnered with engineering, data science, and design teams to translate product vision into scalable, measurable outcomes.Led cross-functional teams through Agile, SAFe, and DevSecOps frameworks to deliver high-velocity, compliant innovation.Drove end-to-end Product Lifecycle Management (PLM) from concept to Go-To-Market (GTM) strategy and adoption enablement.Certified in SAFe POPM, PRINCE2, and Data Science, I combine strategic foresight with technical fluency to create AI products that deliver measurable business outcomes and sustainable growth. Let’s connect if you’re building AI products that redefine how enterprises work. I help organisations harness the potential of AI to create scalable, secure, and customer-centric products.

Experience

1. Product Manager

   Ameriprise Financial Services, LLC

   Jan 2025 — Present · Minneapolis, MN, US

   Owned AI product strategy and roadmap - for enterprise SDLC modernization across 100+ applications at Ameriprise Financial, aligning business priorities, IT Risk mandates (FED, FFIEC, SOX, SOC 1 & 2), and engineering execution to achieve 95% compliance alignment.• Drove GenAI adoption across the software delivery lifecycle - delivering AI-assisted code generation, automated documentation, and validation using Claude AI API and prompt engineering, reducing developer cycle time by 20%.• Architected a 3-dashboard Portfolio Governance Scorecard - integrating 7+ source systems (Jenkins, Veracode, SonarQube, JFrog, ServiceNow, Jira) into unified Power BI reporting using medallion data architecture, tracking 45+ KPIs across the enterprise portfolio.• Embedded AI-powered analytics into governance workflows - enabling automated root cause analysis, anomaly detection, Natural Language Query, and predictive compliance forecasting (30/90-day) via Claude AI API, reducing compliance reporting effort by 40%.• Led DevSecOps transformation - governing CI/CD pipelines across Jenkins, Terraform, Docker, Kubernetes, and SonarQube, reducing pipeline failures by 35% and improving deployment reliability across all Agile Release Trains.

Education

• The Institute of Chartered Accountants of India

  CPT

  2010 — 2011

• Kingston University

  Master's degree, International Business Management and Project Management

  2020 — 2021

• Acharya Nagarjuna University

  Bachelor of Commerce - BCom, Finance, Business/Commerce, Computers

  2010 — 2013

• MasterMind

  +2, M.E.C

  2008 — 2010

• Great Lakes Institute of Management

  Post Graduation Program, Data Science Engineering

  2018 — 2019

• St.Joseph’s High School

  Secoundry Schooling

  2007 — 2008

Skills

• Team Management
• Refunds
• Financial Analysis
• Journal Entries
• Finance
• Auditing
• Microsoft Word
• Cash Management
• Research Development
• Outsourcing
• Order to Cash
• Financial Statements
• Fixed Assets
• Payments
• Powerpoint
• Microsoft Excel
• Business Analysis
• Claims Handling
• Accounts Payable
• Deal Approvals
• Microsoft Office
• Invoicing
• Concur
• Accounting
• Vendor Management
• Management
• Bank Reconciliation
• General Ledger
• Organizational Design
• Account Reconciliation