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Leads data-driven commercial operations and analytics projects for pharmaceutical and life sciences clients. Responsibilities include managing cross-functional teams, defining project scope, analyzing data, developing insights and deliverables, optimizing data processes with coding, managing client communications, supporting business development, and mentoring junior consultants.

Lead life sciences commercial operations and analytics consulting projects from scoping through delivery. Manage cross-functional teams, client communications, timelines, resources, and data analytics tasks. Analyze data, develop actionable insights, optimize data processes using coding, and create reporting deliverables. Support business development, collaborate with global teams, and mentor junior consultants while providing strategic guidance and thought leadership.

Leads software configuration projects for Mainsail applications, translating requirements into technical tasks, estimates, timelines, and database or UI customizations. Designs and implements complex configurations using Microsoft SQL Server, JavaScript, and CSS. Provides technical guidance, supports junior team members, tracks project progress, recommends process improvements, researches system capabilities, and delivers technical support.

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.

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 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.

The Manager of Commercial Operations & Analytics will lead client engagements, manage projects, enhance data processes, and drive client relationships within the life sciences sector.

Manage operations for client engagements in the life sciences industry, leading teams, enhancing data processes, and fostering client relationships while delivering quality analytics.

Leads commercial operations and analytics engagements for life sciences and pharmaceutical clients. Responsibilities include project and team leadership, data process enhancements, analytics and reporting oversight, client relationship management, proposal development, project financial management, business growth initiatives, and mentoring. The role requires pharma commercial expertise across data management, sales operations, commercial analytics, and BI/reporting, plus coding and data visualization skills.