Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India

• Provide independent advisory and consulting services to Boards, CXOs, and Chief Data Officers on enterprise Data, AI, Advanced Analytics, and BI strategy, operating models, and Responsible AI governance.
• Design and deliver GenAI, Agentic AI, and Autonomous Enterprise roadmaps, enabling organisations to transition from experimentation to scalable, production-grade value realisation.
• Support enterprises in strengthening readiness through regulatory alignment, data governance frameworks, trusted data foundations, BI standardisation, and capability uplift.
• Lead execution-focused engagements to accelerate high-value use cases, modernise data and AI platforms, and deliver measurable business outcomes across large-scale and regulated environments.

Sep 2025 – Present · 9 mos

• Guiding IIT/IIM next-gen talent with strategic perspectives in Data, AI, and intelligent automation.

Apr 2024 – Aug 2025 · 1 yr 4 mos · Bengaluru, Karnataka, India · Hybrid

• Bendigo Bank is one of Australia’s largest Big-6 banks.
• As a senior executive reporting to the CDO, I led Bendigo Bank’s enterprise-wide shift to a data-driven, AI-enabled, cloud-first operating model, reshaping how the bank governs data, applies intelligence, delivers value, and operates at scale.
• I built and executed the bank’s Data, AI, GenAI and Agentic AI transformation agenda, modernising capabilities across payments, identity, AML/KYC, lending, credit decisioning, fraud, compliance, finance, risk and customer experience—covering strategy, operating model, governance, platform architecture, workforce uplift and value measurement, fully aligned to Board and executive priorities.
• I strengthened the enterprise data foundation by uplifting data maturity to a regulated-ready state, implementing federated data governance, modernising reporting, and delivering a cloud-native Enterprise Data & AI Platform on AWS (SageMaker, Bedrock, Nova, Glue, DataZone, IAM, DataOps/MLOps).
• To scale execution, I established the Enterprise Data & AI CoE and built a 150+ person CDAO organisationacross governance, engineering, analytics, ML/GenAI, architecture and platforms, while chairing the Enterprise Data Governance Council and Responsible AI Steering Forum.
• I led enterprise Agile, SAFe and DevOps transformation as a SAFe SPC–aligned consultant, scaling Data & AI delivery through ARTs, DataOps/MLOps and CI/CD-driven platform engineering across regulated environments.
• With foundations in place, I accelerated AI adoption, enabling hyperautomation, agentic automation and autonomous value chains, delivering 30+ AI, GenAI and agentic use cases and realising ~$20M in measurable business benefit.
• Beyond technology, I drove cultural and capability uplift, scaling data literacy and AI fluency to prepare the organisation for an AI-first banking future.

May 2018 – Oct 2019 · 1 yr 5 mos · Sydney, New South Wales, Australia

• Led enterprise-scale Data, AI, and Digital Transformation strategy and delivery engagements for Top-10 Australian Banks, the Reserve Bank of Australia (RBA), Federal and State Government agencies, and Telecom organisations, driving regulatory-grade data governance, modern data platforms, advanced analytics, and AI-enabled decision-making across highly regulated environments.

Apr 2018 – Mar 2024 · 5 yrs 11 mos · Sydney, New South Wales, Australia

• Services Australia is the Federal Government’s primary delivery agency for national citizen services and payments, supporting mission-critical health, social and economic programs for millions of Australians.
• As a senior leader of national digital reform, I guided the organisation’s transition to a modern, data-driven and AI-enabled operating model—improving how policy, programs and citizen services were delivered, governed and scaled.
• . I led the national Data, AI, Analytics and Automation agenda, modernising capabilities across citizen services, benefits processing, identity management, compliance, reporting and operational service delivery—aligned to ministerial expectations and regulatory and whole-of-government policy.
• . Strengthened the enterprise data foundation by uplifting data maturity to regulatory-ready levels, implementing federated data governance, modernising statutory and operational reporting, and introducing ML-enabled decision automation to improve fairness, transparency and service speed.
• . Established the Enterprise Data & AI Centre of Excellence and built a 200+ person multidisciplinary function across governance, analytics, data engineering, ML, automation and platform capability—embedding Responsible AI, privacy-by-design and secure identity frameworks.
• . Delivered 30+ production solutions across fraud, compliance, identity, eligibility, NLP automation and early GenAI, improving operational performance and citizen experience and realising ~$30M in measurable value.
• . Modernized the enterprise BI and reporting ecosystem—streamlining statutory, regulatory and financial reporting to improve accuracy, auditability and decision transparency.
• . Established a Lean-Agile Delivery and DevOps CoE to improve delivery maturity, predictability and speed-to-value of transformation programs.
• . Drove cultural uplift—data literacy, AI awareness & an innovation mindset to prepare the organisation for an AI-ready future.

Jan 2016 – Present · 10 yrs 5 mos · Australia

Feb 2015 – Apr 2018 · 3 yrs 2 mos · Sydney, New South Wales, Australia

• Westpac is one of Australia’s largest 4 banks & financial institution.
• As a senior leader, I drove enterprise-wide data governance, data management, analytics, and AI capability uplift—strengthening regulatory compliance, improving reporting accuracy, and accelerating data-driven decision-making. I partnered with C-suite, risk, finance, and technology leaders to embed APRA-aligned governance, establish federated stewardship, and build trust in enterprise data assets across critical business domains.
• Led a $25M+ federated data governance transformation with ~100 specialists, defining the enterprise data strategy and operating model across 20+ functional domains including risk, finance, operations, technology, and digital.
• Implemented the Enterprise Data Management Framework covering policy, controls, architecture, processes, roles, and technology enablement, and established the Chief Data Office.
• Established and chaired the Enterprise Data Governance Council and working groups, embedding APRA, GDPR, CPG 235, and CPS 232 compliance across the bank.
• Delivered core data management capabilities including data quality, metadata, MDM, reference data, BI, DWH, DQ workflow automation, and enterprise architecture to uplift maturity from reactive to managed.
• Led a global $20M+ OECD CRS & IRS FATCA regulatory program, ensuring secure, compliant multi-jurisdictional XML submissions while strengthening auditability and regulatory confidence.
• Modernised the enterprise data and reporting ecosystem—reducing data discrepancies by ~70% and significantly improving reporting accuracy through a 60+ member BI and data quality engineering function.
• Delivered >$30M in operational and compliance value through improved governance discipline, automation, and rationalised reporting ecosystems.
• Scaled delivery using Agile and SAFe practices to modernise enterprise data capabilities and accelerate business outcomes.

Jul 2012 – Jan 2015 · 2 yrs 6 mos · Melbourne, Victoria, Australia

• ANZ is one of Australia’s largest 4 banks and
• financial institution.
• As a senior leader supporting data and regulatory transformation across ANZ’s APAC footprint, I partnered with global and regional stakeholders to uplift data governance, modernise reporting ecosystems, and digitise core processes to enable faster, compliant and scalable business operations.
• Led a $20M+ FATCA regulatory transformation across APAC, managing 100+ specialists to automate reporting and achieve full compliance.
• Strengthened enterprise data management and governance frameworks driven by regulatory and business requirements.
• Established a Data Centre of Excellence in Bangalore, scaling engineering, BI, data quality and reporting capability to support multi-country delivery.
• Modernized the home-loan origination platform using Agile delivery, reducing approval cycle time by ~30% and improving customer experience.
• Digitized and automated back-office statement generation, improving processing efficiency and reducing operational overhead by ~70%.
• Modernized the enterprise reporting and BI ecosystem, automating compliance, lending and operational reporting to improve accuracy, reduce manual effort and accelerate insight-to-action across business, finance and risk.
• Built foundational advanced analytics capability, enabling predictive insights for lending performance, operational efficiency and customer behaviour trends.
• Improved enterprise data quality posture by embedding DQ rules, automated issue detection, stewardship workflows and trusted reporting layers across regulatory and operational reporting streams
• Standardized metadata and resolved critical data quality issues across 30+ source systems and 20,000 key data elements, improving consistency and trust.
• Implemented structured delivery governance (Agile, release, KPIs and reporting), improving predictability, transparency & alignment to business priorities.

Nov 2007 – Apr 2012 · 4 yrs 5 mos · United States

• As a senior program leader in Wipro’s BI and data engineering practice, I delivered large-scale data transformation programs for Fortune 100 clients across banking and consumer industries. My work focused on modernising legacy platforms, improving enterprise data management, and enabling advanced analytics and reporting to drive operational efficiency, regulatory alignment, and business growth.
• PepsiCo:
• Delivered a $12M enterprise data warehouse and reporting modernisation program, improving automation, analytics accessibility and forecasting accuracy—contributing to ~$14M in incremental revenue.
• Implemented a scalable BI Portal Factory, standardising dashboards and reporting workflows across commercial, supply chain and finance functions to enable consistent enterprise insights.
• Optimised bottling operations and supply chain visibility by re-engineering BI reporting processes, improving production forecasting, route efficiency and operational planning.
• Streamlined and automated billing system reporting, reducing manual effort, improving reconciliation accuracy and accelerating revenue assurance cycles across regional operations.
• Capital One:
• Consolidated 20+ legacy data systems into a modern enterprise data platform, improving accuracy, auditability and regulatory reporting efficiency.
• Led a 40-member Data Quality and Metadata team to standardise and govern 12,000+ critical data elements, improving data trust, availability and traceability across the bank.
• Established an enterprise-wide data stewardship model, embedding ownership, policy compliance and data lifecycle accountability across risk, finance, compliance and operational teams.
• Modernised the BI and reporting ecosystem, improving report standardisation, enabling role-based data access and reducing manual reporting effort across risk, finance and business operations.

Oct 2005 – Oct 2007 · 2 yrs · Stamford, Connecticut, United States

• As a Senior Consultant in BI and Data Warehousing at Xerox, I led reporting modernisation and enterprise data platform uplift initiatives to improve reporting accuracy, streamline information delivery, and enable better visibility across sales, finance and service operations. I partnered with business teams and technical leaders to transition legacy reporting environments into scalable enterprise BI and DWH capabilities.
• Key Contributions & Impact
• Unified legacy BI systems and restructured sales reporting processes, delivering ~$4.5M in savings, +23% customer retention, and a 34% recovery in market share.
• Re-engineered 1,000+ legacy reports into a standardised BI/BO reporting ecosystem and delivered executive dashboards and reporting portals to support faster access to business performance insights.
• Led a 20+ member BI and DWH delivery team across requirements, ETL/data modelling, reporting development, testing and production rollout.
• Established enterprise reporting standards, metric definitions and governance practices to eliminate duplication and improve consistency and trust in reporting.
• . Optimised ETL and DWH data pipelines, improving data refresh cycles and report performance across sales, customer service and financial reporting functions.
• Automated recurring operational and financial reports, reducing manual effort, improving turnaround time, and increasing adoption of standardised enterprise reporting.

Jul 2003 – Aug 2005 · 2 yrs 1 mo · Melbourne, Victoria, Australia

Jan 2001 – Jun 2003 · 2 yrs 5 mos · Bengaluru, Karnataka, India