Industry & Enterprise - Data & AI Manager

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Quick Summary

Key Responsibilities

Client-facing interaction including providing data-driven analyses, recommendations, presentations, advice, to clients. Leads proposal preparation, client presentation and project delivery.

Technical Tools

OtherEnterprise

Transform Every Fact of Business

We identify and execute on actionable insights through a data-driven approach combining data discovery with visualization

We apply intelligent technology and human ingenuity at the core of business across every function and process to address our clients’ most complex challenges

We transform organizations at every level using innovative data-driven solution.

The flexible. Scalable Applied Intelligence Platform helps our clients become insight-powered enterprises, delivering value at speed using market-leading tools.

Our responsible AI methodology puts people at its center. Focusing on enhancing their capabilities and elevating their roles.

The key responsibilities may include:

Client-facing interaction including providing data-driven analyses, recommendations, presentations, advice, to clients.

Leads proposal preparation, client presentation and project delivery.

Evaluate the current state of the client’s databases and data systems to identify database structural necessities

Identify new solutions to increase efficiency and performance

Delivers analytics projects including but not limited to Marketing Mix Modeling, Multi-Channel Attribution, Big Data Analytics, Pricing and Promotion, Trade Promotion Analytics, Customer Segmentation analytics, Markdown Optimization, machine learning operations, optimization, statistical analysis, quantitative modelling.

Job Qualifications

Minimum of bachelor’s degree required in a related field; strong preference for fields of study in data science, AI, statistics, economics or quantitative background

Minimum of 6 years of relevant experience in management consulting OR minimum of 6 years of data science, advanced modelling, and predictive modelling with best use of commercial data science or machine learning platforms

Very strong expertise in Microsoft suite (including advanced Excel skills with embedded Pivot Tables & Macros; advanced PowerPoint usage)

At least 5 years’ experience with predictive analytics tools which may include R / Revo R, SAS, Python, Spark

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.