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Analyze large customer, prospect, and campaign datasets using Python and SQL; build and optimize marketing audiences; conduct campaign performance analysis; create dashboards and reports; automate recurring reporting; ensure data quality; identify trends and anomalies; and present actionable recommendations to marketing stakeholders.

Manage day-to-day People Operations across the employee lifecycle, including onboarding, transfers, employee changes, offboarding, HRIS records, benefits, and employee support. Partner with Payroll, Finance, IT, managers, and HR leadership; maintain confidentiality; support HR initiatives; and improve workflows through process optimization and automation. The role also involves People metrics, reporting, and process coordination in a fast-paced distributed environment.

The Vice President of Finance will own North America’s financial narrative, including P&L performance, forecasting, budgeting, profitability, margins, and executive reporting. The role leads monthly planning cycles, forecast accuracy, client health and margin analysis, pricing and investment decisions, and revenue recognition oversight. The VP manages Finance Business Partners, oversees Global FP&A reporting infrastructure, partners with senior business leaders, and presents financial insights to executive and board-level audiences.

Leads and mentors data scientists while delivering end-to-end analytics solutions for pricing, customer segmentation, marketing, causal inference, Bayesian modeling, and optimization. Develops, validates, deploys, and operationalizes models using Python, SQL, and AWS SageMaker. Partners with clients and senior stakeholders to translate analytical findings into measurable business outcomes, establish modeling best practices, and ensure technical quality and governance.

Leads a data engineering team in designing, developing, and optimizing scalable on-premise data pipelines. Builds ETL/ELT workflows with Python, Spark, SQL, and Airflow; manages Airflow DAGs; troubleshoots performance and data quality issues; conducts code reviews; and coordinates technical design, project delivery, stakeholder communication, resource planning, and team mentorship.

Design, develop, optimize, and maintain scalable GCP data pipelines and ETL/ELT solutions using Python and SQL. Build data processing and transformation workflows, perform data modeling and validation, troubleshoot production issues, and implement data quality, security, and governance practices. Collaborate with business and technical teams, participate in code reviews, and contribute to technical architecture and design decisions.

Lead AI and data science projects, mentor a team, collaborate with stakeholders, ensure project quality, and deliver insights for decision-making.

Design, build, and maintain scalable AWS-based batch and streaming data pipelines (including CDC). Implement data models, ensure data quality and performance, deliver validation reports, and collaborate with cross-functional teams to productionize domain-oriented data solutions.

Lead the Agentic Transformation practice at Blend360, managing client relationships and guiding Fortune 1000 companies through major technology transformations, focusing on executive engagement and strategic outcomes.

Lead the end-to-end delivery of Customer Data Platform projects, coordinate teams, manage vendor relations, and ensure compliance and governance.