Sr Product Manager, Data Product - East Hanover, United States - Mondelez Espaa Galletas Production SLU
4 weeks ago
Description
Job DescriptionAre You Ready to Make It Happen at Mondel?z 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 DOES
Our 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 (Customer360 and Outlet 360), 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 360 and Outlet 360.
JOB REQUIREMENTS
Develop 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 BRING
Experience 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 BRING
Bachelor'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 EXPERIENCES
Understanding 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 Mondel?z 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 brandsincludingOreo
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.
Mondel?z 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 for assistance.Job Type
RegularAnalytics & ModellingAnalytics & Data Science
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