Data Product Manager: INTL -India

Post Date

Sep 03, 2024

Location

Plano,
Texas

ZIP/Postal Code

75024
US
Dec 09, 2024 Insight Global

Job Type

Contract

Category

Project Manager

Req #

DAL-729879

Pay Rate

$21 - $26 (hourly estimate)

Job Description

The Data Product Management team part of the Global Data, Analytics & Ai (D&AI) team. They are tasked with articulation of the vision and leading the implementation of PepsiCos next generation global Data infrastructure. The scope encompasses the full Strategy & Transformation agenda, leading all Data Product roadmap initiatives.

The Data Product Manager for Commercial and Consumer products will be a critical member of the global data product management team. They will lead delivery of sDNA, a set of data products and data science analytic models focused on driving PepsiCo sales growth via granular understanding of Retail Outlets and Consumer Data.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skills & Experience

Bachelors degree
10+ years of overall Technology experience that includes at least
3+ years of Product Management experience
8+ years of experience in Data Analytics, Data Modeling, Data Science or Data Management in business facing functions
2+ year experience in Food/Beverage/Manufacturing or Consumer Products industry
2+ years of experience leading/building advanced analytics and big data solutions
Experience working in a data-centric business environment
Experience, and a passion for, turning ad hoc data deliverables into scalable products
Excellent ability to identify sources of value from data analytics across consumer and customer business domains (B2B customers: hotels, retail stores, gas stations, etc)
Familiar with Azure Cloud services and Data & Analytics products
Passion about Agility & DevOps and bringing it to life in a large organization in a pragmatic manner
Understanding of fundamental machine-learning principles (for instance, training versus predicting, performance measurement, and overfit), as well as techniques such as random forests or neural networks
Familiarity with machine-learning technologies and tools, such as big data stack, Python, and visualization techniques
Familiarity with principles and tools for data governance and stewardship
Strong communication skills and an ability to break down complex information into relevant and digestible points for both inside D&Ai and externally to the business
Demonstrated ability to effectively communicate with all levels of the organization and solve highly complex problems across teams
Excellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressure
Demonstrated ability to drive business-oriented and innovative solutions using data science, feature engineering and machine learning

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.