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Deepak Baisala

@deepakbaisala

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AI Governance Lead at Accenture, building enterprise AI controls and responsible AI frameworks across six sectors.

India

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At Accenture, I lead Responsible AI advisory delivery across client engagements in six sectors. For a tier-1 Australian telecommunications group, I own the effectiveness of enterprise AI controls and Responsible AI policy compliance, lead a team of 10+, and built the AI incident management process.

I’ve designed AI governance frameworks, risk taxonomies, control libraries, and assessment approaches, including work mapped to ISO/IEC 42001 and informed by the EU AI Act. Earlier, I delivered production machine learning at Accenture and Infosys, including forecasting models, model monitoring, and MLOps—experience that grounds my governance advice in practical delivery.

Experience

Work history, roles, and key accomplishments

Current

Manager – Responsible AI & AI Governance

Current

Accenture

Jan 2023 - Present (3 years 9 months)

Lead Responsible AI advisory delivery spanning AI governance, risk management, assurance, and enterprise adoption across seven client engagements in six sectors. Contributed to practice growth through proposals and authored a point of view on RBI's FREE-AI framework.

AI Governance AI Risk Management AI Assurance ISO 42001 EU AI Act NIST AI RMF RBI Free AI Operating Model Risk Taxonomy Control Libraries Third Party AI Risk Gen AI Risk Management AI Incident Management Stakeholder Engagement Team Management

Manager / Consultant / Analyst – Data Science & Advanced Analytics

Accenture

Feb 2017 - Dec 2022 (5 years 10 months)

Delivered production machine learning across network operations, supply chain, and digital advertising. Progressed from Analyst to Consultant to Manager, leading teams of up to three data scientists.

Machine Learning Python R SQL PySpark Azure Databricks CI CD Model Monitoring MLOps Data Pipelines A B Testing Domo Spark SQL Shell Scripting

Analyst – Data Science

Infosys Limited

Jan 2016 - Feb 2017 (1 year 1 month)

Built product segmentation models for a multinational consumer goods company using gradient boosting on Apache Spark. Applied random forest models for data correction and delivered OCR and NLP analytics for label extraction.

Gradient Boosting Apache Spark Random Forest OCR NLP Python Data Analysis

Senior Risk Analyst

Quatrro Global Services

Jun 2015 - Jan 2016 (7 months)

Developed decision-tree rule sets to reduce bad-block rate in credit card transaction processing. Built customer segmentation and automated chargeback case detection.

Decision Trees credit card processing Customer Segmentation Automation Risk Analysis

Senior Systems Engineer

Infosys Limited

Dec 2010 - Jul 2013 (2 years 7 months)

Developed a reference data management system using Asset Control tooling for a leading US capital markets firm, serving multiple downstream applications.

Asset Controls Reference Data Management Capital Markets Team Leadership