Data Warehouse Project Manager - W2 only

A2C Consulting - Philadelphia, PA

Full-time - Senior

Philadelphia, PA

About the position

The Data Warehouse Project Manager will serve as a Program Technical Lead, collaborating with application managers and business stakeholders to ensure the timely delivery of high-quality applications that meet customer needs. This role involves engaging with business teams to develop innovative solutions, acting as a liaison between divisions and IT, and leading multidisciplinary projects within the Enterprise Information Management department.

Responsibilities

• Engages with business teams to understand their needs and develops robust, innovative solutions that exceed customer expectations.
• Serve as liaison between Divisions/Functions and IT on projects and enhancements and drive technical validity of solutions.
• Create timelines, facilitate collaboration between multiple departments, and follow up with teams to bring issues to closure.
• Represent the Enterprise Information Management team in business/project meetings and communicate the status effectively.
• Build solutions within the Enterprise Information Management department's architecture and framework for data ingestion and extracts.
• Participate in data strategy and road map exercises, business intelligence/data warehouse product selection, design, and implementation.
• Demonstrate a solid understanding of the clients' business processes and requirements.
• Abide by and enforce corporate and information technology policies.
• Lead multidisciplinary projects or initiatives.

Requirements

• 15+ years of experience in working in Data/Analytical environments.
• 5 - 7 years of working in the healthcare payer industry with experience in multiple subject areas like Provider, Medical/Pharmacy Claims, Membership, etc.
• Demonstrated ability to interact effectively with all levels of the organization.
• Development and project management experience implementing analytic applications including all phases of the system development lifecycle (SDLC).
• Good understanding of enterprise data and its use by business for analytical and operational purposes.
• Leadership/supervisory experience.
• Excellent organization, analytical, interpersonal, written, and verbal communication skills.
• Ability to influence and partner with business partners as well as to work with highly technical individuals.