AI & Data Decision Science Leader

Accenture PLC; Washington (District of Columbia); On-site; USD 101,000 - 270,000; Full time

Benefits offered by this job

Medical coverage

401(k) plan

Paid time off

Job summary

Accenture in Washington, DC is seeking an AI & Data Decision Science Manager to lead end-to-end data science initiatives, ML projects, and analytics programs across onshore and offshore teams.

You will bridge business and technical domains, engage stakeholders, drive sales opportunities, mentor talent, and define ROI-driven transformation roadmaps while advancing responsible AI practices. Travel up to 80% may be required based on client needs.

Qualifications

• 6+ years in Data Science, ML, AI, or Analytics.
• 6+ years building decision-based frameworks/models.
• 1+ years in utilities sector or finance/regulatory function.
• Bachelor’s degree or equivalent; Master’s preferred.

Responsibilities

• Lead delivery of Data Science, AI, Analytics initiatives/programs.
• Manage onshore and offshore Data Science & ML teams.
• Bridge business and technical domains for internal/external use.
• Engage with stakeholders to build and maintain relationships.
• Lead sales process and develop data science/machine-learning opportunities.
• Customize models and solutions for industry-specific problems.
• Collaborate across Accenture’s network with strategy, consulting, and tech teams.
• Develop Data Science/ML talent within the organization.
• Identify AI use cases and create ROI-driven transformation roadmaps.
• Advise on adoption of responsible AI and governance.

Skills

Data Science

Machine Learning

AI

Analytics

Education

Bachelor’s degree or equivalent

Master’s degree in Data Science or related field

Tools

Python

R

SQL

TensorFlow

PyTorch

scikit-learn

OpenAI

AWS

Azure

Google Cloud

Hadoop

Spark

Tableau

Power BI

Job description

Accenture in Washington, DC is seeking an AI & Data Decision Science Manager to lead end-to-end data science initiatives, ML projects, and analytics programs across onshore and offshore teams.

You will bridge business and technical domains, engage stakeholders, drive sales opportunities, mentor talent, and define ROI-driven transformation roadmaps while advancing responsible AI practices. Travel up to 80% may be required based on client needs.