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Develops and leads enterprise data engineering solutions, including ETL pipelines, cloud platforms, Databricks implementations, architecture, code reviews, documentation, and presentations. Mentors junior team members, trains colleagues, supports client-facing technical discussions, leads meetings, and serves as a Professional Development Manager.

Provide advanced analytics and AI/ML support for life sciences clients, particularly pharmaceutical commercialization initiatives. Lead India-based delivery teams, manage complex analytical projects, develop client recommendations, enhance consulting services, and support business development. The role requires hands-on work with Python, visualization tools, cloud platforms, and pharmaceutical use cases, along with mentoring, stakeholder collaboration, and communication with US clients.

Supports implementation and configuration of the Mainsail platform for life sciences clients. Responsibilities include front-end configuration with HTML and CSS, minor UI and form updates, data preparation and validation, basic SQL queries, collaboration with consultants, documentation, issue tracking, and learning platform delivery practices and .NET-based workflows.

The Associate Consultant develops code to ingest, clean, and process life sciences data; troubleshoots data workflows; produces accurate client deliverables; and identifies metrics for reports, dashboards, and presentations. The role involves client engagement, problem-solving, and strategic consulting related to salesforce sizing, territory alignment, and incentive compensation. Candidates collaborate across teams, contribute to ad hoc projects, and build expertise in sales and marketing analytics.

Develop and troubleshoot data ingestion, cleaning, processing, reporting, dashboards, analyses, and client deliverables for life sciences consulting projects. Communicate project results and expectations to clients, lead client sub-teams, ensure accurate and timely delivery, perform advanced analytics, and guide Associate Consultants. The role also requires collaboration across teams, client relationship management, presentations, and adaptable problem-solving.

Leads operational transformation initiatives supporting delivery quality, organizational scaling, India-U.S. staffing models, and AI-enabled workforce adoption. Converts strategy into measurable goals, dashboards, KPIs, governance processes, and operating rhythms. Maps consulting workflows, identifies AI opportunities, measures productivity and business impact, and drives change management. Partners with senior leadership and cross-border consulting teams to improve staffing, capacity planning, engagement health, delivery consistency, and scalable internal systems.

Leads cross-functional data management and analytics projects for pharmaceutical and life sciences clients. Responsibilities include data warehouse development, ETL and schema design, data analysis, process optimization, client communication, project management, business development, and mentoring junior staff. The role also provides strategic guidance, develops reporting solutions, manages timelines and resources, and contributes to internal data platform initiatives.

Manages secure collection, standardization, de-identification, and aggregation of sensitive patient data from EHRs, laboratory systems, and external databases. Builds Python and PySpark data aggregation solutions, maintains secure pipelines, monitors data quality, supports HIPAA-compliant governance and audits, and develops SOPs. Leads client communications, meetings, recommendations, and multiple data aggregation projects while ensuring compliance with privacy and security standards.

Supports consulting projects and client deliverables through business analytics, data organization, reporting, dashboard preparation, project coordination, stakeholder communication, and process improvement. The role tracks milestones, documents meetings, follows up on action items, manages multiple assignments, and contributes to operational and strategic initiatives across internal and global teams.

Design, architect, and implement scalable enterprise applications on the Microsoft stack. Build RESTful APIs, microservices, and integrations; manage SQL Server databases; lead code quality, CI/CD, and DevOps practices in Azure; collaborate with product and stakeholders to deliver high-performance, secure solutions.