Jobs at Beghou Consulting

Lead delivery of omnichannel experience strategies for life sciences clients: translate data and insights into actionable blueprints, manage workstreams and client relationships, facilitate workshops, embed measurable success metrics with analytics partners, deliver presentations, mentor junior staff, and contribute to practice IP and growth.

Oversee client proposals and projects, leveraging coding skills for data processes, mentoring teams, and identifying growth opportunities in life sciences.

As an Associate Manager of Project Management, you will lead client engagements, manage project timelines, and oversee internal process improvements, ensuring delivery excellence in the life sciences sector.

Design, build, optimize, and support an AI-forward data platform. Develop scalable ETL/ELT pipelines using Databricks, Python, and PySpark. Build cloud-native solutions on AWS/Azure, apply CI/CD and secure development practices, collaborate with data scientists and stakeholders, and incorporate AI tools to improve engineering productivity.

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

Lead proposal development and manage commercialization analytics projects for life sciences clients. Build and enhance reports, online tools, and data processes; perform advanced analyses and deliver insights using SAS, Python, VBA, and BI tools. Drive client relationships, identify growth opportunities, manage project financials and SOWs, and mentor junior team members while contributing to organizational initiatives.

The Consultant, Data Analytics will lead data-driven projects in the pharmaceutical sector, fostering innovation and providing insights through analytics and technology facilitation.

The Manager of MDM leads projects for Master Data Management systems, working with teams to ensure successful client engagements in the pharmaceutical and life sciences sector.

Lead and execute data-driven commercial projects for pharmaceutical clients: define scope, design data warehouse and ETL, perform data engineering and analysis, generate actionable insights, manage client communications, lead project teams, and support internal initiatives.

Coordinate staffing and consultant operations by matching talent to projects, maintaining resource systems and skills databases, monitoring timesheets and utilization, producing reports and analyses, supporting onboarding, and proactively identifying staffing gaps to inform leadership.