Industry & Function AI Decision Science Manager

About the Role

You are an AI & Data Decision Science Manager at Accenture, responsible for managing end-to-end data science projects, leveraging advanced analytics, machine learning, and AI technologies to create decision‑making systems that deliver innovation aligned with Accenture’s 360° value commitment.

• Lead the delivery of Data Science, Artificial Intelligence, and Analytics initiatives/programs.
• Manage teams both onshore and offshore across Data Science and Machine Learning.
• Bridge between business and technical domains for internal and external purposes.
• Engage with business and analytics stakeholders to build and maintain relationships.
• Lead the sales process, originate, and lead sales solutioning for Data Science & Machine Learning related opportunities.
• Customize Data Science / Machine Learning / Artificial Intelligence / Analytics models and solutions for specific business problems within an industry or function.
• Collaborate across Accenture’s network and partner with strategy, consulting, and tech teams in the sales and delivery processes.
• Develop Data Science/Machine Learning / Artificial Intelligence talent within the organization.
• Identify AI use cases in an industry and/or function by understanding an organization’s goals and areas of need, developing the business case, determining ROI, and creating the transformation roadmap.
• Advise organizations on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value.

• Bachelor’s Degree, preferably in Data Science, Computer Science, Statistics, or related field.
• 5+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.

• 5+ years of experience building decision‑based frameworks and models to drive insights.
• 5+ years of high‑value consulting experience or equivalent internal consulting experience.
• 5+ years of experience leading work streams and meeting deadlines.
• 5+ years of large‑scale delivery experience with minimal help.
• Proven track record of delivering successful AI or data science projects and teams.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks and libraries (e.g., Tensor Flow, PyTorch, scikit‑learn).
• Strong analytical and problem‑solving skills.
• Experience with AI Native and cloud platforms (e.g., OpenAI, Anthropic, AWS, Azure, Google Cloud).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Knowledge of agent‑based modeling, reinforcement learning, and autonomous systems is highly desirable.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Experience in sales and business development.
• Strong program management and communication skills, both verbal and written.
• Driven and entrepreneurial: ability to originate and shape new deals, lead in client conversations, and go to market activities.
• Fluent in English (spoken and written).
• Excellent leadership and people skills, proven ability to build effective teams and foster a collaborative and inclusive environment, and proven ability to build strong client relationships.
• Experience bringing innovative ideas to projects.
• Master’s degree in Data Science, Computer Science, Statistics, or related field.

Ability to travel up to 80%, as needed based on client expectations.

Accenture offers a market‑competitive suite of benefits including medical, dental, vision, life, and long‑term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off.

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us…