Industry and Function AI Decision Science Senior Manager

at  Information Technology Senior Management Forum

Posted Date
2/04/2025
Description

Industry and Function AI Decision Science Senior Manager (Accenture LLP; Florham Park, NJ): Accenture LLP has multiple openings for the position of Industry and Function AI Decision Science Senior Manager in Florham Park, NJ, and the job duties are as follows:

• Lead and manage teams to deliver transformative and innovative client projects on-time and on-budget.
• Analyze and collect customer requirements/needs through face-to-face interactions.
• Organize and manage regular meetings to review progress and address requirement changes.
• Produce quantitative analyses by collecting and analyzing data to assist clients with decision making, policy formulation, process re-engineering.
• Develop decision support tools (applications, models, processes) addressing the specific customer needs and requirements that End-to-End has been engaged to resolve.
• Produce reports, presentations, and other deliverable materials to leave and share with clients.
• Co-create with clients to shape and sell project work.
• Architect how to use Applied Intelligence capabilities to drive client transformation for industry or functional use cases.
• Perform data-driven storytelling through quant analysis, dashboards, and data visualization.
• Guide teams on analytical and AI methods and approaches.
• Manage client relationships to foster trust, deliver value and build the Accenture brand.
• Drive consulting practice innovation and thought leadership in your area of specialization.

BASIC QUALIFICATIONS:

Must have a bachelor’s degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Management, or related field, plus 7 years of experience (of which 5 years must be progressive post-baccalaureate experience) in the IT consulting industry.

Must have 7 years of experience in each of the following:

• Working in pharmaceutical sales and marketing or patient health management projects;
• Developing and writing ETL (Extract, Transform, Load) conversion routines to store, locate, and retrieve specific documents, data, and information;
• Improving patient health by updating data processes and leveraging advancements in data insights for pharmaceutical marketing, operations, and sales enhancements;
• Evaluating pharmaceutical sales and marketing data to identify and recommend improvements for data quality issues and procedures; and
• Identifying trends in data to derive business-relevant insights from the source data.

Must have 3 years of experience in each of the following:

• Utilizing ETL, data modeling, or big data for data analysis and task automation to manage and regulate reporting;
• Writing SQL codes using MySQL, Oracle SQL, or PostgreSQL, to transform data;
• Developing data processes using cloud technologies, including AWS, Azure, or Google Cloud platform;

• Building and training statistical and machine learning models in Python, SAS, or R; andManaging teams and clients in data science projects.

• Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.

• Lead and manage teams to deliver transformative and innovative client projects on-time and on-budget.
• Analyze and collect customer requirements/needs through face-to-face interactions.
• Organize and manage regular meetings to review progress and address requirement changes.
• Produce quantitative analyses by collecting and analyzing data to assist clients with decision making, policy formulation, process re-engineering.
• Develop decision support tools (applications, models, processes) addressing the specific customer needs and requirements that End-to-End has been engaged to resolve.
• Produce reports, presentations, and other deliverable materials to leave and share with clients.
• Co-create with clients to shape and sell project work.
• Architect how to use Applied Intelligence capabilities to drive client transformation for industry or functional use cases.
• Perform data-driven storytelling through quant analysis, dashboards, and data visualization.
• Guide teams on analytical and AI methods and approaches.
• Manage client relationships to foster trust, deliver value and build the Accenture brand.
• Drive consulting practice innovation and thought leadership in your area of specialization