Vice President Enterprise Analytics

  • Nestle
  • $153,830.00 - 153,830.00 / Year *
  • 130 E Washington St, North Attleboro, MA 02760
  • Full-Time
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POSITION DESCRIPTION:. The VP of EAS will serve as the trusted advisor to the Chief Analytics Officer (CAO) of Nestle USA and the delivery leader for industry leading analytical and automation solutions implemented and deployed across the organization. This role will help build Nestle USA's analytics organization to deliver data, analytics, and digitally engaging solutions to drive consumer, customer, operational, and financial focused insights focused on top and bottom line business value across the organization. The leader will collaborate with business and functional leaders, advance data governance, and help lead NUSA to become a truly insight driven organization. The role will also define and develop NUSA's ability to use data as a strategic asset and support analytics solutions that enhance organizational, strategic and operational planning, decision making and performance management.. Additionally, this role will need to have the ability to architect enterprise-wide data and analytics transformations with varying c-suite executives (CEO, CFO, Head of Sales, etc.) as the architect of new capabilities delivering business value.. PRIMARY RESPONSIBILITIES / KEY OUTPUTS. % OF TIME / MEASUREMENTS. & PERFORMANCE INDICATORS. Functional Strategy Development and Solution Delivery: 50%. Build out set of analytics services including new advanced analytics, cognitive AI/ML and robotics functionality to serve the enterprise. Oversee the development of an enterprise data strategy including data lake implementation, enterprise data management and governance, reporting automation / simplification, data science, and next generation cognitive / analytics technologies. Effectively manage the identification, sourcing, integration, and transformation of new external and existing data sets to be \"fit for insight\" (fast, granular, connected) across the enterprise. Translate strategies and requirements from the business into analytics opportunities to be evaluated and prioritized. Provide guidance to the data engineers, data scientists and other advanced analytics resources on solution design, development, delivery, and maintenance. Maintain a fluent understanding of advancements in technology and innovations including cognitive technology and artificial intelligence. Implement and execute structured decision-making. Act independently to determine best possible methods and solutions to increase the speed to glean an insight and speed to act on the insight in the business. Define analytics led performance management models spanning multi-functions with direct/ indirect linkage to influence strategic and operational planning, along with decision making to become a data driven culture. Stakeholder Development and Management: 30%. Articulate the value proposition and business case for analytics solutions as well as modernizing enterprise data and technology. Interacts with senior level (C-suite, SVP, VP, etc.) clients and/or within Nestle USA to gain acceptance new approaches (i.e. new operating models, use of analytics solutions and insights).. Ability to architect enterprise-wide data and analytics transformations and change management with varying c-suite executives as the architect of business value.. Provide technical expertise on analytics solution design, development and delivery to stakeholders and position EAS as a key business partner.. Talent/Performance Management: 20%. Partner with CAO to create and lead a world class Analytics organization.. Hire, develop, and mentor analytics talent in partnership with HR. Develop internal IT and 3rd party partnerships w/ data, services, asset, advisory, and implementation providers to effectively deliver a portfolio of solutions that scale and sustain adoption in and value for the enterprise. Manage teams of diverse backgrounds, skill sets and technical/functional knowledge.. Cultivate a community of leading data architects, engineers, scientist, visualization specialists etc. Encourage creative and innovative thinking from team members while helping them to bring their ideas and career plans to fruition. BASIC / ESSENTIAL REQUIREMENTS. Bachelor's Degree statistics, actuarial science, quantitative field, economics, business mathematics or a related field - Graduate degree preferred.. Must be willing to travel 20-25%. Minimum 7 - 10 years of experience leading enterprise insights, analytics and/or business intelligence teams.. Minimum 7 - 10 years of experience leading and implementing analytical solutions using variety commercial technologies and platforms.. Minimum 7 - 10 years of experience working with business stakeholders and senior leaders in advising on and delivering data analytics, information and technology solutions to meet their needs.. Minimum 7 - 10 years of experience building, leading, coaching and developing large teams.. Experience creating and managing an analytics organization.. Experience and understanding of a variety of analytical processes including but not limited to data governance, quality and measurement.. Experience building and managing teams of advanced data modelers, data architects, data scientists, etc.. Experience consuming large data sets from multiple sources and implementing visualization capabilities leveraging mainstream, commercial software platforms.. Experience exploring, implementing, and deploying advanced capabilities, including cognitive technology, ML/AI, automation, and digital user engagement techniques. Experience with technologies such as: Python, R, Java, Microsoft Azure, PowerBI, SQL, Salesforce Einstein, Birst. #LI-MS1. The Nestle Companies are equal employment and affirmative action employers and looking for diversity in qualified candidates for employment.. Nestle USA makes delicious, convenient and nutritious food and beverage products that make good living possible. Nestle S.A., our parent ...
Associated topics: apache, c, information technology infrastructure library, java, life cycle, machine learning, microsoft, operating system, software manager, sw

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.