Senior Consultant - Data Aggregation - Life Sciences/Pharma
Team: Data Engineering
Location: New York City, New York, Princeton, New Jersey
Commitment: Full-time
Workplace Type: hybrid
We'll Trust You To:
- Oversees and develops Data Aggregation (specialty pharmacy, hub, specialty distributor, 3PL) projects and capabilities; consistently delivers quality client services and drives projects within expected timeframes and on budget.
- Develops data management and reporting suites across patient and channel data.
- Works with project leadership to define project scope and development approach for each project, including conducting issue analysis and hypothesis development.
- Coordinates with data vendors to establish data exchanges and to resolve data quality issues.
- Synthesizes findings, develops recommendations, and communicates results to clients and internal teams.
- Contributes to product development initiatives.
- Works independently or with a team to build out data processes.
- Coordinates with diverse teams, including those globally.
- Frequently utilizes coding to facilitate data processing and reporting.
- Provides project leadership for team members regarding process improvements, planned approaches for client requests, or transition of new deliverables.
- Monitors progress, manages risk and ensures key stakeholders are kept informed about progress and expected outcomes; manages project finances by maintaining financial summaries, drafts SOWs for new work, and manages client invoices.
- Assists in supporting management, including promoting employee engagement, recruiting, training, and providing ongoing education, employee mentorship and coaching; contributes to internal initiatives as needed.
- Fosters an innovative and inclusive team-oriented work environment.
- Coaches and mentors junior team members on their professional development and serves as their Professional Development Manager.
- Grows external client engagements, owning aspects of the relationship between the client and the firm.
You will need to have:
- Bachelor’s or advanced degree with at least 5 years of relevant professional experience.
- Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required.
- Coding skills (SAS, Python, R, VBA, etc.) and knowledge of data visualization software such as Tableau or Power BI, preferred.
- Proven experience implementing or supporting patient and/or payer data management solutions in the US pharmaceutical market.
- Proficiency in Microsoft Office products, with advanced Excel skills required.
- Experience with HIPAA-compliant data management.
- Experience working with specialty distributor EDI (852, 867) data preferred.
- Experience with other commercial life sciences datasets (CRM, payer reference, claims, etc.) preferred.
- Strong project management and people management skills.
- Advanced analytical and problem-solving abilities.
- Excellent organizational, time management, and communication skills.
- Knowledge of data management best practices in the pharmaceutical industry.
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