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Product InnovationManagement Level
ManagerJob Description & Summary
At PwC our people in software and product innovation focus on developing cuttingedge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.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.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
Job Level: Manager
Line of Service:Business services support
At PwC our people in the AI Technology and Innovation team are part of a Global team with our team members sitting across our AC locations including India.
This team is focused on leveraging advanced technologies and techniques to design and develop robust data solutions for the Acceleration centre . They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth by creating products and platforms that reimagine the way we drive our clients to the Leading edge
As a Manager of the AI Technology and Innovation team you will be responsible for designing and developing AI powered next generation intelligent platforms. Focused on conducting process mining designing next generation small and largescale AI driven solutions you will be responsible for leveraging Technology to implement digital workflow solution help our organization achieve operational efficiencies and reduce costs.
Strategic & Technical Orientation / Job Content:
Lead and manage a team of software engineers in developing implementing and maintaining advanced software solutions for GenAI projects.
Engage with senior leadership and crossfunctional teams to gather business requirements identify opportunities for technological enhancements and ensure alignment with organizational goals.
Design and implement sophisticated eventdriven architectures to support realtime data processing and analysis.
Oversee the use of containerization technologies such as Dockers to promote efficient deployment and scalability of software applications.
Supervise the development and management of extensive data lakes ensuring effective storage and handling of large volumes of structured and unstructured data.
Champion the use of Python as the primary programming language setting high standards for software development within the team.
Facilitate close collaboration between software engineers data scientists data engineers and DevOps teams to ensure seamless integration and deployment of GenAI models.
Maintain a cuttingedge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually.
Translate complex business needs into robust technical solutions contributing to strategic decisionmaking processes.
Establish and document software engineering processes methodologies and best practices promoting a culture of excellence.
Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.
Range of Impact:
Advanced degree (MS/PhD) in Computer Science Machine Learning or related field with a focus on generative models
Proficiency in Python and software engineering best practices for AI systems
Demonstrated experience with large language models (LLMs) such as ChatGPT
Practical understanding of generative AI frameworks
Expertise in MLOps and LLMOps practices including CI/CD for ML models
Proven Track Record :
8 years of handson experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots proofs of concept and prototypes
Deep understanding of stateoftheart AI architectures
Proficiency in Python and software engineering best practices for AI systems is a must
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Acceptance Test Driven Development (ATDD) Acceptance Test Driven Development (ATDD) Accepting Feedback Active Listening Analytical Thinking API Management Application Development Application Frameworks Application Lifecycle Management Application Software Business Process Improvement Business Process Management (BPM) Business Requirements Analysis C Programming Language Client Management Coaching and Feedback Code Review Coding Standards Communication Computer Engineering Computer Science Continuous Integration/Continuous Delivery (CI/CD) Creativity Debugging Embracing Change 35 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0%Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Full-Time