Program Lead - Analytics consultant (Data Science)

About the Role:

Work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to one or more clients in the CPG/Retail Industry

Lead multiple project teams consisting of consultants, analysts, data scientists, BI experts, data / ML engineers etc.

Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions

Translate those business problems (sometimes ambiguous) into clear analytics problem statements

Design plans to develop and deploy advanced analytics and data solutions with a product mindset in collaboration with internal CoEs e.g. Cloud, Engineering, Data Sciences, MLOps etc.

Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities.

Measure and articulate how analytics results improve clients business & financial metrics.

Contribute to organization building through training, mentoring and developing repeatable analytics approaches

Responsibilities

Minimum 5-10 years of relevant work experience in delivering advanced analytics, engineering and BI solutions through analytics consulting with overall 10 13 years of experience.

Minimum 2-3 years experience in working with and leading multidisciplinary teams

In depth understanding of Retail/CPG industry function with Pricing Analytics, Promotions, Revenue Growth experience.

Ability to translate high level business problems to an analytics and data problem statement

Experience in scoping, development, validation & deployment of explanatory, predictive, and prescriptive analytic solutions with a product mindset

Work Experience of DS / ML / DE/ AI techniques - when and why they are used and interpretation of results from a business viewpoint

Ability to discover patterns in data and deliver impactful insights in the context of client decision making

Experience in stakeholder management, driving project governance, and linking analytics to business value delivered

Hands-on experience in data handling using SQL and advanced analytics tools such as R and / or Python

Hands on Experience in analyzing and visualizing data using tools such as Tableau, PowerBI

Excellent written, oral, presentation, interpersonal and stakeholder management skills.