[PRI] Director - Technology

Princeton, NJ
Full Time
Technology
Executive
About ProcDNA:
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What we are looking for 
We are seeking a highly experienced Director of Data Engineering Services with over 10 years of leadership experience in data engineering. This executive role involves strategic oversight and management of our entire data engineering division. You will spearhead the development and implementation of high-level data strategies that align with business goals, driving innovation and excellence in data handling and analytics practices across multiple projects.

What you will do 
  • Drive the vision and execution of data engineering strategy aligned with business goals, leading the adoption of cutting-edge technologies such as AI, cloud platforms, and advanced analytics.
  • Lead and mentor a high-performing team of senior engineers and analysts, fostering a culture of growth, innovation, and continuous improvement.
  • Translate complex technical strategies into actionable business insights while serving as the principal technical advisor to C-level executives and key clients.
  • Ensure data integrity, security, and compliance with global data regulations through robust governance and risk mitigation strategies.
  • Identify new business opportunities, drive client success, and utilize performance metrics to optimize data operations and deliver measurable impact.
Must Have
  • 10+ years in pharma technology consulting, with at least 8 years of U.S. market experience and a strong track record of leading large-scale data projects.
  • Educational Background: Advanced degree in engineering (MBA preferred), backed by a strong academic performance.
  • Technical Expertise: Deep knowledge of data architecture, big data technologies, and cloud computing platforms, along with demonstrated hands-on experience.
  • Leadership Skills: Proven ability to lead high-performing teams, mentor senior professionals, and drive strategic initiatives with measurable outcomes.
  • Exceptional Communication: Strong interpersonal and executive communication skills, with the ability to influence stakeholders and represent the data function at the highest levels.
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