Prakash Negi
Assurance Leader - Data, Digital & Platform | Digital Transformation | Process, Risk & Governance | Data Privacy | Data Analytics AI-ML | Ex-PwC | Ex-
- Role
- Sr General Manager at Reliance Industries Limited
- Location
- Mumbai, MH, IN
- LinkedIn followers
- 500 followers
About Prakash Negi
Seasoned Assurance and Risk Management professional with over 18 years of progressive experience across Manufacturing, BFSI, Telecom, Retail, and Oil & Gas sectors—consistently delivering impact through governance, technology enablement, and strategic advisory. A qualified CA, CIA, CISA, CDPSE and PGD-AIML, I bring a unique blend of financial acumen, risk intelligence, and digital transformation capabilities.As Senior General Manager at Reliance Industries, I lead cross-functional internal audit and digital assurance programs anchored in actionable outcomes. My approach combines robust risk frameworks, data analytics, and real-time insights to enhance operational resilience and control environments. I champion a shift from compliance-based audits to predictive, insight-driven assurance using tools like SQL, Python, HANA,Tableau and Power BI.Certified by IIM Bangalore in Leading Digital Transformation, I actively pursue continuous learning to stay at the forefront of emerging technologies and risk trends. My expertise extends to deploying CCM solutions, integrating AI/ML use cases in audits, and shaping GRC programs that are scalable and sustainable.Known for stakeholder-centric execution, I collaborate with C-suite leaders and audit & risk committees to translate risk findings into measurable business value. I take pride in nurturing high-performing teams, driving digital fluency, and fostering a culture of transparency, trust, and innovation.
Experience
Sr General Manager
Sep 2021 — Present · Mumbai, IN
Driving outcome-based assurance across energy & materials verticals through digital innovation and digital assurance.1. Led internal audits for group entities including Hydrocarbon, E&P, Jio-BP and Other Group Companies improving risk visibility and strengthening governance across diversified businesses. Implemented real-time audit analytics and Continuous Control Monitoring (CCM) using tools like SQL, Tableau, Python, and SAP HANA, resulting in faster issue detection and targeted remediation. Streamlined audit delivery across 10+ business units through risk-based planning, reporting frameworks, and stakeholder engagement, improving transparency and control effectiveness. Enabled tech-driven reviews for SAP and non-SAP systems, cloud platforms, API, DevSecOps, and Agile development processes enhancing compliance and digital assurance maturity. Collaborated with cross-functional teams to establish governance frameworks, assess IT controls and data privacy, and launch proactive risk assessments for new platforms and subsidiaries. Championed integration of AIML use cases into internal audits with data science teams, enabling predictive insights and audit automation for key business processes. Partnered in building and tested internal audit tools using open-source technologies, creating exception reporting systems that elevated audit quality and coverage. Facilitated continuous learning and capability development**, mentoring teams, leading knowledge-sharing sessions, and conducting internal trainings on digital audit methodologies. Impact Delivered- Accelerated audit cycle time by 25% through real-time analytics - Achieved enhanced board-level engagement with actionable insights - Strengthened CCM adoption across critical functions, enabling sustained risk mitigation - Cultivated a learning-centric audit culture aligned with digital transformation
Education
Indian Institute of Management Bangalore (IIM Bangalore)
Leading Digital Transformation
University of Mumbai
Bachelor of Commerce - BCom, Commerce
2002
The Institute of Chartered Accountants of India
Chartered Accountant, Accounting and Finance
FAU Erlangen-Nürnberg
Leading Digital Transformation
National Institute of Technology Warangal
PGD, Artificial Intelligence and Machine Learning , Python, Predictive Analytics, Machine Learning, Deep Learning, NLP, Artificial Intelligence
2021 — 2022
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