GenAI Python Systems Engineer -Senior Manager

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GenAI Python Systems Engineer -Senior Manager

We solve together so you can deliver unexpected impact.

Chicago, Illinois; Raleigh, North Carolina; Charlotte, North Carolina; Cincinnati, Ohio; Cleveland, Ohio; Columbia, South Carolina; Columbus, Ohio; Dallas, Texas; Richmond, Virginia; Baltimore, Maryland; Rosemont, Illinois; Boston, Massachusetts; Sacramento, California; St Louis, Missouri; Salt Lake City, Utah; San Antonio, Texas; San Diego, California; San Francisco, California; Silicon Valley, California; Seattle, Washington; Spartanburg, South Carolina; Albany, New York; Stamford, Connecticut; Tampa, Florida; Toledo, Ohio; Atlanta, Georgia; Austin, Texas; Tulsa, Oklahoma; Washington D.C., District of Columbia; Denver, Colorado; Des Moines, Iowa; Detroit, Michigan; Buffalo, New York; Florham Park, New Jersey; Fort Worth, Texas; Greensboro, North Carolina; Hartford, Connecticut; Houston, Texas; Indianapolis, Indiana; Grand Rapids, Michigan; Irvine, California; Jacksonville, Florida; Kansas City, Missouri; Las Vegas, Nevada; Little Rock, Arkansas; Los Angeles, California; Louisville, Kentucky; Birmingham, Alabama; Fayetteville, Arkansas; Miami, Florida; Milwaukee, Wisconsin; Minneapolis, Minnesota; Nashville, Tennessee; New Orleans, Louisiana; New York, New York; Oklahoma City, Oklahoma; Philadelphia, Pennsylvania; Phoenix, Arizona; Pittsburgh, Pennsylvania; Portland, Oregon

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Job ID 727071WD

Category Data and Analytics Engineering

Time Type Full time

Specialty/Competency Data, Analytics & AI

Level Senior Manager

Travel Requirements Up to 80%

Locations Chicago, Raleigh, Charlotte, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Richmond, Baltimore, Rosemont, Boston, Sacramento, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Austin, Tulsa, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Florham Park, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Miami, Milwaukee, Minneapolis, Nashville, New Orleans, New York, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.

Apply systems thinking to identify underlying problems and/or opportunities.

Validate outcomes with clients, share alternative perspectives, and act on client feedback.

Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.

Deepen and evolve your expertise with a focus on staying relevant.

Initiate open and honest coaching conversations at all levels.

Make difficult decisions and take action to resolve issues hindering team effectiveness.

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.

Responsibilities

- Lead the creation and execution of data architecture strategies

- Drive innovation and thought leadership in data solutions

- Collaborate with stakeholders to align technical solutions with business needs

- Maintain compliance with data governance and security protocols

- Promote an environment where technology and people excel together

- Translate complex data requirements into actionable technical plans

- Oversee the implementation of advanced data technologies

- Facilitate cross-functional collaboration to enhance data architecture

What You Must Have

- Bachelor's Degree

- 8 years of experience

What Sets You Apart

- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus

- Proficient in Python and structured/unstructured data

- Proficient in SQL and relational databases

- Writing and maintaining FastAPI endpoints for applications

- Understanding AI techniques enhancing LLMs

- Experience in prompt engineering for LLM outputs

- Developing scalable data storage solutions using cloud services

- Designing and managing data warehouses and data lakes

- Implementing IAM roles and policies for cloud platforms

The salary range for this position is: $124,000 - $280,000. 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:

As PwC is anequal 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:

Learn more about 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:

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