Trinity

Director, Commercial Data Management

Pennsylvania - East Germantown Pike · Director

Sponsorship not specified$165k-$185kDetected 13 days ago

Data ScienceProject ManagementBusiness DevelopmentLeadershipCommunicationCollaborationMentoring

About the role

Your leadership will elevate TGaS's reputation as the industry's premier data management advisory firm.

You deliver polished, well-researched work developed to the highest standards, understanding that client success drives our growth
You take personal accountability for outcomes and proactively drive initiatives without requiring oversight
The Director, Management Advisor, Commercial Data Management Solution will lead strategic initiatives that transform how bio-pharmaceutical companies manage their commercial data ecosystems.
Reporting to the Vice President of Commercial Data Management Solution, you'll combine business acumen with technical expertise to deliver high-impact benchmarking and advisory services that drive competitive advantage for our clients.
In this influential role, you'll partner with operational leaders to assess current capabilities, identify optimization opportunities, and develop roadmaps for data-driven excellence.
Identify cross-functional opportunities to expand engagement scope across TGaS solutions (e.g., Commercial Org Design, Operations, Talent Management)
Support urgent client requests with timely, high-quality insights and recommendations
Design and administer targeted surveys (e.g., VHow network assessments) to gather market intelligence and benchmark competitive positioning
Develop and deliver compelling content for client summits, webinars, and industry events that establish TGaS thought leadership
Drive Business Development & Innovation (15%)

Bachelor's degree in Data Management, Data Science, Computer Science, Business Analytics, Life Sciences, or related field
Minimum 5+ years in pharmaceutical or biotech data management, with demonstrated expertise in commercial operations
Proven success leading client-facing consulting engagements, advisory projects, or benchmark initiatives
Hands-on experience with commercial data platforms and tools (e.g., Master Data Management systems, CRMs, CDPs, Data Lakes)
Demonstrated proficiency with analytics platforms and BI dashboards
ability to distill complex data management topics for C-suite and operational audiences

Execute end-to-end benchmarking projects from discovery through delivery, including stakeholder interviews with functional leaders, executives, and operational teams
Produce actionable benchmark reports with specific, measurable recommendations that address clients' current operational challenges and future-state capabilities
Facilitate strategic workshops and planning sessions that translate benchmark insights into implemented operational improvements
Serve as a trusted advisor on Commercial Data Management strategy, providing expert guidance on data governance, platform selection, team structure, and capability development
Conduct regular business reviews to align TGaS advisory services with evolving client objectives and maximize value realization
Continuously refine advisory methodologies and share lessons learned across the TGaS advisor community
Identify unmet client needs during ongoing engagements and propose solutions leveraging TGaS's full portfolio and external partnerships
Capture market intelligence and client feedback to inform new service offerings and enhance existing solutions

In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
The base salary range for this role is $165k-$185k per year.

You're passionate about expanding your knowledge and leveraging insights from diverse clients to benefit your practice
In addition to your base salary, you will also be eligible for an annual discretionary performance bonus.
Compensation is determined based on factors such as the candidate's skills, experience, job-related education and training, location, and internal equity.

This listing is sourced directly from Trinity's careers page and normalized into a canonical job model.