Technical Data Product Management Sr. Director – IBP - 251283

at PepsiCo Corp in Chicago, Illinois, United States

Job Description

Technical Data Product Management Sr. Director – IBP

Technical Data Product Management (TDPM) has 3 critical dimensions:
* End-to-end Data + Analytics data delivery execution ownership and optimization of resource assignment, sequencing, allocation
* Translation between Business and Technical domains to ensure accuracy of build and understanding implications for utilization of technology within business practices
* Horizontal visibility across Products and Projects to help drive re-use and reduce redundancy/duplication in the D+A and broader PEP portfolio

This role will oversee the data delivery implementation of IBP globally, PepsiCo’s largest digital global program. It will play a pivotal role in the launch and success of deployments across PEP’s two largest sectors, PBNA and PFNA (North America). This role will act as primary D+A liaison to the IBP core team/SVP, and will be responsible for planning and overall execution of IBP deployments from a data delivery perspective.

Delivery Feasibility and Accountability
* Establish and own accountability of data delivery for IBP against key technical delivery milestones
* Determine feasibility to deliver against broad range of constraints (strategy, time, cost, resources, etc.)
* Based on Functional Requirements submitted by BE, DPS or Business Partner, define what is possible through data science and engineering
* Collaboratively manage reporting that measures D+A’s execution
* Define and drive Business Customer adoption of “acceptance criteria” for delivery from D+A
* Marshall and lead x-chapter Pod resources towards shared goal 

* Lead the “Articulation of the questions that can be answered” and address the core challenge sought to be resolved by the Business customer
* Translate these questions and problems into user stories and requirements in language for Data Engineering and Data Science
* Translate the analytics solutions back to the business to ensure they are actionable and business can drive value from those insights
* Simultaneously ensure Data Engineering and Data Science teams are spending optimal time at work in their specialties while ensuring the business understands what is going to be delivered and how it solves their problem
* Communicate proactively to two audiences (Business and Technical) at once
* Ensure the technical teams are clear on the “why” from the perspective of the Business customer

Technical Documentation and Artifacts
* Translate functional requirements (BE) and data strategy (EDS) into technical data requirements for a technical audience (+ build templates of these set of Technical requirements)
* Collaboratively design and document the data product artifacts required by the project
* Author the narrative for the data artifacts produced and for the solution as integrated into the DPS product to secure and drive adoption of the solution in the business

Presentation, Narrative and Adoption
* Own presentation of DE/DS output to Business Customer, or support when presented as part of Digital Product
* Drive adoption in the business of the D+A solution through end user narratives
* Help track benefits of these insights to leadership to drive acceptance
* Collaborates with Practices (ETO, DPS, DX, VCT, etc..) for embedding analytics solutions in the business and overcoming implementation difficulties, such as cultural barriers

Relationship and Stakeholder Management
* Develop relationships within broader S&T, IT, GBS and Business teams to help them understand the value of data & analytics products and services, and organically build the analytics demand pipeline in partnership with BE and EDS
* Ensure Business customer expectations from D+A are managed and seek to eliminate disconnect on what can be addressed

Compensation & Benefits:
* The expected compensation range for this position is between $165,000 - $335,000
* Location, confirmed job-related skills and experience will be considered in setting actual starting salary
* Bonus based on performance and eligibility; target payout is 30% of annual salary paid out annually and an additional target payout of 15% of annual salary is paid out over 3 years following the end of the performance period. 
* Long term incentive equity may be awarded based on eligibility and performance. 
* Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
* In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and their families, subject to elections and eligibility: Medical, Dental, Vision, Disability, Health and Dependent Care Reimbursement Accounts, Employee Assistance Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan

* Bachelor’s degree; Advanced degree preferred
* 12+ years of Product Management, Data Analytics, Science and Management in business facing functions
* 4+ years experience in Food/Beverage/Manufacturing or Consumer Products industry
* 5+ years of experience leading/building advanced analytics and big data solutions
* Experience working in a data-centric business environment
* Excellent ability to identify sources of value from data analytics across core business domains (such as marketing, risk, and operations) and to define paths realizing that value
* Deep 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, R, and visualization techniques
* Strong communication skills and an ability to break down complex information into relevant and digestible points for both inside D+A and externally to the business
* 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
* Demonstrated ability to effectively communicate with all levels of the organization and solve highly complex problems across teams
* Strong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levels

EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

PepsiCo is an Equal Opportunity Employer: Female / Minority / Disability / Protected Veteran / Sexual Orientation / Gender Identity

If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law & EEO is the Law Supplement documents. View PepsiCo EEO Policy.

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Job Posting: 11217651

Posted On: Aug 24, 2023

Updated On: Sep 28, 2023

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