Ashitosh Chitnis has built a remarkable career at the intersection of Artificial Intelligence (AI), data engineering, and enterprise transformation. Over 15+ years, he has played a pivotal role in helping Fortune 10 companies leverage data to drive measurable business outcomes. With extensive experience in SAP analytics, machine learning (ML), and enterprise data architecture, Chitnis has consistently delivered solutions that balance technical innovation with strategic business impact.
Early Career and Foundations
Chitnis began his career in 2008 as an SAP BW developer at Deloitte LLP, where he worked on HR and financial reporting systems. These early projects gave him a strong foundation in enterprise data solutions and honed his ability to align technical implementations with business needs.
In 2011, he joined IBM, where he spent the next decade shaping large-scale analytics projects. During this time, Chitnis led six full-cycle SAP analytics implementations for global clients such as Zimmer Biomet, Pfizer, Micron, BCBG MaxAzria, BioRad Laboratories, UPS. His role involved managing teams of over 20 developers across continents, ensuring seamless collaboration while delivering complex projects on time and within budget.
Driving Innovation Through AI
Chitnis’ work at Google from 2021 to 2023 demonstrated his ability to integrate cutting-edge AI technologies into enterprise systems. At Google, he focused on productionizing Vertex AI solutions that automated cost recovery processes valued at over $50 million annually. By implementing machine learning models for fraud detection and financial audits, he introduced explainable AI frameworks that became benchmarks for regulated industries.
Additionally, Chitnis rebuilt serverless data lakes on BigQuery, used by more than 10k users, thanks to its capability of handling multi-terabyte daily loads by predominantly ingesting SAP data leveraging SLT and other first-party connectors. His efforts reduced non-production system downtime by 20% while optimizing SAP BW/4HANA workflows to improve operational efficiency.
Research Contributions
Chitnis has also made significant contributions to academic research, focusing on areas such as explainable AI, data observability, and compliance automation. His research emphasizes practical applications of AI in enterprise environments, including methodologies that reduce pipeline errors through ML-driven drift detection and frameworks for ensuring SOX compliance in financial systems.
Through platforms like Google Scholar and ResearchGate, Chitnis has shared his expertise with the broader community. His research papers have explored topics like automating audit frameworks to reduce manual validation efforts by 75%, enabling faster adoption of machine learning insights in finance teams, and enhancing cross-platform data sovereignty for regulated industries.
Here is a list of research papers published by Ashitosh Chitnis:
- SOX Compliance and AI: Automating Financial Audits With Explainable Ai (2023)
- ML-driven Data Quality Management in Peta Byte Scale Sap Based Data Lakehouses (2023)
- Machine Learning for Fraud Detection Leveraging Sap Finance Data: a Case Study of Bigquery Ml Application (2022)
- Automated Data Observability and Drift Detection Using Machine Learning (2022)
- Graph-based Machine Learning for Complex Relationship Detection in Enterprise Data (2021)
Leadership Philosophy
Chitnis is not only a technical expert but also an accomplished leader who has managed global teams across diverse industries. He believes in using empathy as a tool for effective management, fostering collaboration across cultural and operational boundaries. His leadership philosophy emphasizes strategic delegation, empowering team members to take ownership of critical tasks while maintaining high standards of quality and compliance.
During his tenure at IBM, Chitnis successfully delivered a $20 million SAP HANA migration project under budget while mentoring team members into senior roles. His ability to navigate challenges during complex implementations has earned him recognition as a leader who combines technical expertise with strong people management skills.
Recognitions and Achievements
Chitnis’ contributions have been widely recognized within the industry. His innovative work in data engineering earned him accolades for driving measurable business value through advanced analytics and AI/ML solutions. He has consistently demonstrated an ability to deliver projects that not only meet technical requirements but also generate significant ROI for organizations.
Vision for the Future
While much of Chitnis’ work focuses on solving present-day challenges, his vision for the future includes democratizing access to analytics through explainable AI and self-healing data pipelines. He predicts that advancements in edge computing will enable enterprises to process more data at the source, reducing latency and improving decision-making capabilities.
By focusing on scalable solutions that integrate seamlessly into existing enterprise systems, Chitnis continues to shape how organizations approach data-driven transformation.
Connect with Ashitosh Chitnis
To explore more about Ashitosh Chitnis’ work or connect with him professionally:
- LinkedIn: linkedin.com/in/ashitosh-chitnis
- Google Scholar: scholar.google.com/citations?user=_x8BarsAAAAJ&hl=en
- ResearchGate: researchgate.net/profile/Ashitosh-Chitnis
Ashitosh Chitnis’ career reflects a deep commitment to advancing enterprise technology through innovative AI and data engineering solutions. His contributions serve as both inspiration and a roadmap for professionals navigating the evolving landscape of enterprise analytics.
