Industry & Function AI Decision Science Manager

About the role

The AI Decision Science Manager role at Accenture involves leading the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs. This role requires a blend of technical expertise, strategic thinking, and leadership skills to deliver innovative solutions aligned with Accenture's commitment to driving 360° value for clients.

Responsibilities

• Lead the delivery of Data Science, Artificial Intelligence, Analytics initiatives / programs
• Manage teams both onshore and offshore across Data Science & Machine Learning
• Understand and bridge between business and technical domains (for both internal and external purpose)
• 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 organization on adoption of responsible AI solutions and governance by training users on new processes, maintaining solutions, tracking results, and communicating the realized value

Requirements

• Bachelor's Degree, preferably in Data Science, Computer Science, Statistics, or a 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 workstreams 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., TensorFlow, PyTorch, scikit-learn)
• Strong analytical and problem-solving skills
• Experience with AI Native and cloud platforms (e.g., Open AI, 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 (both 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
• You have experience bringing innovative ideas to projects
• Master’s degree in Data Science, Computer Science, Statistics, or a related field

Qualifications

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

Skills

• Ability to travel up to 80%

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

Pay

Annual Salary Range: $94,400 to $293,800

Schedule

Not specified