Delivery Manager

2 days ago


Hyderabad Telangana India, Telangana Recro Full time

This position leads client projects in the conception, execution, and delivery of Data Aggregation systems life science firms. Additionally, this position plays a pivotal role in managing client interactions regarding existing and future Data Aggregation projects and identifies areas for future growth.

Essential Duties & Responsibilities

  • 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.
  • Develops data summarizations and identifying data insights, trends and patterns.
  • Advises on strategy, team resources, and deadlines, and assumes data investigation and platform configuration tasks as necessary to support internal team and clients.
  • 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.
  • Ensures seamless communication and collaboration with US-based project managers and clients to align project goals and deliverables.

These essential functions are not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice.

Qualifications (Knowledge, Skills, Abilities, Education)

  • Bachelor’s or advanced degree with 8 to 10 years professional experience.
  • Proven experience implementing or supporting patient and/or payer data management solutions in the US pharmaceutical market.
  • Proficiency using Microsoft Office products, such as PowerPoint and Word; advanced Excel skills required.
  • Strong coding skills in Python.
  • 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 verbal and written communication skills.
  • Excellent organizational, time management, and communication skills.
  • Knowledge of data management best practices in the pharmaceutical industry.
  • Ability to work effectively with others and adapt quickly.
  • Ability to thrive in an international matrix environment and willingness to support US clients during US working hours with 3-4 hours of overlap.


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