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; and
- Managing teams and clients in data science projects.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
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