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Mondelez International

Sr Product Manager, Data Product

Mondelez International, East Hanover, New Jersey, us, 07936


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locations

East Hanover, New Jersey, United States

Remote Worker - Arkansas, USA

Global Headquarters – Chicago, USA

time type

Full time

posted on

Posted Yesterday

job requisition id

R-110595

Job Description

Are You Ready to Make It Happen at Mondelēz International?Join our Mission to Lead the Future of Snacking. Make It Possible.In this role, you will have the opportunity to lead the development of a cutting-edge solution that aims to automate commercial reporting and insights to standardize business performance across the organization.

You will play an instrumental part in shaping and prioritizing the features of this solution in daily operations.WHAT THIS TEAM AND ROLE DOESOur team is at the forefront of driving AI, data, and analytics across US Sales & Planning. As a Product Owner leading our two most important Data Products (Customer360º and Outlet 360º), you will oversee the team as they work towards the following

objectives

:Design and Implement high-quality Data Products in the Commercial a

nd Plannin

g domains, driving the philosophy of

ease of use

,

reusability, scalability

, high

quality

and operational

efficiency

.

Democratize access to a highly curated and

good quality

Data product, scaling data usage across customer teams, RGM teams, and senior executives.

Enable the AI native transformation for the Sales & Planning function through two highly maintained Data products, Customer 360º and Outlet 360º.

JOB REQUIREMENTSDevelop and

maintain

a comprehensive product roadmap

for all data products in Commercial and Planning scope

, ensuring alignment with overall business

objectives

and incorporating feedback from various stakeholders.

Work closely with business users, data scientists, and engineers to understand data-related requirements and translate them into actionable data product

features

.

Analyze data sets to

identify

insights, trends, and opportunities that can be

leveraged

to enhance the data product offering. While overseeing data collection, storage, and quality assurance processes to ensure data accuracy, reliability, and

security

.

Define and

monitor

key performance indicators (KPIs) to assess the success of data

products

via

FAIR, DQI, and other frameworks,

and drive continuous improvement efforts.

Partner with the data governance team (and data steward) to ensure compliance with data privacy regulations and

maintain

data integrity, security, and confidentiality.

Excellent problem-solving and analytical thinking abilities with excellent attention to detail.

Collaborate with data owners to ensure reliable, accessible, high-fidelity information within our tools, driving requirements through a focus on business needs.

Sign off the final user acceptance testing of new features and functions and manage communication of product releases to external and internal stakeholders.

WHAT YOU WILL BRINGExperience leading teams and collaborating with stakeholders between business

,

technology

and data functions.

Experience in Product Management – defining Product Vision and Roadmap

with the focus on consumers

,

pa

rtnering with Stakeholders

, ensuring adoption and cost-efficiency.

Passion for

building high-quality data products,

using data to drive business growth and be comfortable working with data in an entrepreneurial, fast-paced setting.

Experience in Commercial Business domain, ideally in CPG

or FMCG industry.

Excellent communication and collaboration skills to

facilitate

effective teamwork and stakeholder engagement, explaining complex data concepts to non-technical individuals.

WHAT EXTRA INGREDIENTS YOU WILL BRINGBachelor's degree in Information Systems

/Technology

, Business Analytics, or a related field.

5+ years of proven experience in

Product Management, preferably in data-focused

or analytics

roles or industries.

5+ years of proven experience in

Data Engineering,

perfect

understanding o

f

Databases, Cloud Technologies,

Data Modelling, ETL, Data Layers,

Data Governance

, Master Data and Metadata Management.

10+ years experience

developing data visualization tools such as Tableau or Microsoft Power BI

SQL, CI/CD experience

required

Understanding of Agile

SDL

C Methodologies.

Experience on enabling data democratization.

Experience with Data Cataloging

and Data Observability tools.

Demonstrated ability to manage multiple priorities and deliver projects within defined timelines.

Eagerness

to constantly seek improvements in the tech stack, data practices, and data solutions

.

Strong leader, collaborator, team player, and individual contributor

.

Strong communication

skills with comfort in speaking with business stakeholders.

Strong Data Modelling skills.

Experience in Python programming skills.

GOOD TO HAVE SKILLS AND EXPERIENCESUnderstanding industry-specific external data sources used to measure and track performance (e.g., Nielsen).

Understanding of the consumer goods industry or similar industries.

Experience with data governance, privacy regulations, and best practices is a plus.

Big data experience

leveraging

Spark or Hadoop technologies within a cloud infrastructure (Google Cloud – Big Query, etc.).

Experience working with

Jira

or ADO

is a plus.

No Relocation support available

Business Unit Summary

The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands—including

Oreo

and

Chips Ahoy!

cookies,

Ritz ,

Wheat Thins

and

Triscuit

crackers, and

Swedish Fish

and

Sour Patch

Kids

confectionery products —are close at hand for our consumers across the country.

Mondelēz Global LLC is an Equal

Opportunity/Affirmative

Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.Job Type

RegularAnalytics & ModellingAnalytics & Data Science

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