AI Driven Automation & Cognitive Solutions [Health Services]- Manager

PwC • Little Rock, AR • 4d ago

The Opportunity

As an AI Driven Automation & Cognitive Solutions Manager you will lead client-facing work in artificial intelligence engineering, helping design and deliver automation and cognitive solutions within our Data and Analytics Engineering practice. As a Manager you will motivate and develop teams, guide workstreams, and bring business insight to complex delivery challenges while applying technology and innovation to support client needs. In this role at PwC, you will work across AI and machine learning efforts focused on algorithm design, model development, and intelligent process automation for the health services sector, while coaching team members, reviewing deliverables, and supporting steady progress on client engagements.

Responsibilities

Leading AI-driven automation and cognitive solution workstreams for health services clients

Managing project planning, budgeting, execution, and delivery timelines across assigned engagements

Guiding teams in designing and developing AI and machine learning models, algorithms, and intelligent automation solutions

Reviewing complex data analysis and Python-based code to validate model performance, data integrity, and implementation readiness

Coaching team members in technical problem solving, programming approaches, and applied AI implementation methods

Collaborating with client stakeholders to identify automation opportunities and translate business needs into technical solutions

Monitoring deliverables across multiple workstreams, resolving issues, and escalating risks when needed

Reinforcing professional and technical standards while promoting responsible use of AI and data solutions

What You Must Have

At least a Bachelor's degree

At least 5 years of experience

What Sets You Apart

Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering

At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials

Leading AI automation initiatives across client service engagements

Managing project plans, budgets, timelines, and deliverables

Mentoring teams in data and AI delivery methods

Applying Python, data analysis, and machine learning skills

Navigating health services transformation and cross-functional stakeholder needs

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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