Jan 2024 – Dec 2025 · 1 yr 11 mos

• Responsibilities:
• Accountable for the overall delivery of data-driven solutions in the healthcare space, with a primary focus on data integration, modernization, and AI solutions
• Oversee a portfolio of programs worth $40M/year, ensuring profitability, scalability, and timely delivery of data solutions.
• Own the P&L for key accounts, managing financial targets, cost control, and profitability.
• Collaborate with leadership and CxOs to define long-term data strategies and align them with broader business objectives.
• Mentor and lead a diverse team of data scientists, analysts, and technical architects, distributed across global locations including the US, UK, and India.
• Develop and maintain relationships with key client stakeholders, ensuring high levels of satisfaction and engagement.
• Achievements:
• Achieved Business Unit revenue growth of 78% in FY22-23, 41% in FY23-24, and 36% in FY24-25.
• Drove unit expansion through innovation, accelerators, and hackathons, consistently achieving over 30% year-over-year growth in existing account new business and net new logos for five consecutive years.
• Delivered operational excellence resulting in ‘Basis Points’ improvements of 189% in FY22-23, 227% in
• FY23-24, and 132% in FY24-25, enhancing the company’s overall efficiency.
• Led the development of an enterprise-wide data modernization program that consolidated disparate data sources, improving data accessibility, quality and reducing latency by 53%.
• Delivered scalable machine learning pipelines that automated customer segmentation, increasing marketing campaign effectiveness by 35% and driving significant revenue growth.
• Instituted robust data quality frameworks that decreased data errors by 35%, ensuring high-confidence insights for critical business decisions.
• Negotiated and secured strategic vendor partnerships that enhanced data platform capabilities, resulting in a 20% improvement in service delivery speed.

Apr 2021 – Jan 2024 · 2 yrs 9 mos

• Responsibilities:
• Lead and oversee delivery of end-to-end data engineering, analytics, and AI/ML projects for enterprise clients across industries such as finance, healthcare, and retail.
• Drive planning and execution of data practice initiatives including data ingestion, ETL pipelines, data warehousing, and advanced analytics solutions.
• Manage a team of 260+ data professionals including data engineers, data scientists, BI analysts, and architects to ensure timely, high-quality delivery.
• Collaborate with client stakeholders to define project scope, KPIs, and success criteria, ensuring solutions align with business objectives.
• Establish and enforce data governance frameworks, data quality standards, and compliance with regulatory requirements (e.g., GDPR, HIPAA).
• Implement Agile delivery methodologies and DevOps best practices to accelerate development cycles and improve cross-functional collaboration.
• Monitor project budgets, timelines, and resource utilization while mitigating risks and resolving escalations promptly.
• Achievements:
• Delivered a cloud-based data lake solution for a Fortune 100 client, reducing data processing times by 60% and enabling real-time analytics.
• Led migration of legacy data platforms to Azure, resulting in 30% cost savings and enhanced scalability.
• Designed and deployed predictive analytics models that improved client revenue forecasting accuracy by 25%.
• Established Center of Excellence (CoE) for data analytics, improving delivery efficiency and fostering innovation across multiple projects.
• Achieved a 100% project delivery success rate and CSAT over 3 consecutive years, maintaining high standards of quality and client satisfaction.
• Trained and mentored over 50 team members, enhancing technical capabilities and leadership within the practice.

Jan 2020 – Mar 2021 · 1 yr 2 mos

• Achievements:
• Championed the integration of advanced analytics and visualization tools, empowering C-suite executives with real-time dashboards and actionable insights.
• Drove cross-functional collaboration between data, engineering, and business teams to deliver innovative Data solutions, leading to a 30% uplift in operational efficiency.

Jan 2018 – Dec 2019 · 1 yr 11 mos

Jan 2015 – Dec 2017 · 2 yrs 11 mos

Jan 2012 – Dec 2014 · 2 yrs 11 mos

Jan 2009 – Dec 2011 · 2 yrs 11 mos

Feb 2007 – Dec 2008 · 1 yr 10 mos

Feb 2005 – Jan 2007 · 1 yr 11 mos

Dec 2004 – Jan 2005 · 1 mo