PwC

Pharma Technology Consultant Manager

PwC
US Salt Lake City, UT, US
Onsite 2026-06-26
Announced salary
$99,000 - $232,000
Low
$66K
Median
$91K
High
$122K
Market in Salt Lake City · BLS OEWS 2025
Estimated net pay
$6,173 - $13,420
/month · 25% withheld
after tax & contributions · Single, no dependents

Job description

The Opportunity As a Pharma Technology Consultant Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision\-making and driving business growth within our Data and Analytics Engineering practice. You will leverage advanced technologies and techniques to design and develop robust data solutions for clients, focusing on artificial intelligence engineering to build and deploy AI and machine learning\-based solutions at scale. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. In this role, you will be at the forefront of designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. This is an exciting opportunity to work within our AI\-Driven Automation \& Cognitive Solutions sector, focusing on the Pharma and Life Sciences industry. Responsibilities * Leading the design and development of AI and Machine Learning solutions for pharmaceutical clients * Managing complex data analysis to transform raw data into actionable insights * Overseeing the implementation of AI systems and data pipelines to enhance decision\-making processes * Guiding teams in the execution of AI\-driven automation and cogni

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