Overview

　　End-to-end Data + Analytics data delivery execution ownership and optimization of resource assignment, sequencing, allocationTranslation between Business and Technical domains to ensure accuracy of build and understanding implications for utilization of technology within business practicesHorizontal 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 implementation of IBP PBNA and PFNA, respectively. IBP is PepsiCo's largest digital global program, and will be deployed in 2023-2024 across PEP's two largest sectors (PBNA and PFNA), requiring dedicated TDPM support. It will be responsible for key artifacts such as data requirements, data delivery roadmaps, and data related user stories. This role will act as primary collaborator across all D+A teams to coordinate end-to-end data roadmap. This role requires a significant level of decision-making authority, executive presence, and ability to influence.

　　Responsibilities

　　Delivery Feasibility and Accountability

　　Manage delivery against key technical delivery milestonesCollaboratively manage reporting that measures D+A's execution against key programsDefine and drive Business Customer adoption of "acceptance criteria" for delivery from D+ALead x-chapter Pod resources towards shared goal

　　Translation

　　Lead the "Articulation of the questions that can be answered" and address the core challenge sought to be resolved by the Business customerWork with engineering and data science teams to write and steward user stories and requirements in Azure DevOpsTranslate the analytics solutions back to the business to ensure its actionable and business can drive value from those insightsSimultaneously 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 problemCommunicate proactively to two audiences (Business and Technical) at onceEnsure the technical teams are clear on the "why" from the perspective of the Business customer

　　Technical Documentation and Artifacts

　　Work with multiple stakeholders to author 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 projectEnsure technical documentation is readily available for data products produced and that value is communicated to key stakeholders

　　Presentation, Narrative and Adoption

　　Own presentation of DE/DS output to Business Customer, or support when presented as part of Digital Product Help track benefits of these insights to leadership to drive acceptanceCollaborates with Practices (ETO, DPS, DX, VCT, etc..) for embedding analytics solutions in the business and overcoming implementation difficulties

　　Relationship and Stakeholder Management

　　Ensure Business customer expectations from D+A are managed and seek to eliminate disconnect on what can be addressed

　　Compensation and Benefits:

　　The expected compensation range for this position is between $ 106,300- $177,850.Location confirmed job-related skills and experience will be considered in setting actual starting salary.Bonus based on performance and eligibility target payout is 15% of annual salary paid out annually.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

　　Qualifications

　　Bachelor's degree8+ years of Product Management, Data Analytics, Science and Management in business facing functions1+ years experience in Food/Beverage/Manufacturing or Consumer Products industry3+ years of experience leading/building advanced analytics and big data solutions or building enterprise SaaSExperience working in a data-centric business environmentExcellent 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 valueDeep 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 networksFamiliarity with machine-learning technologies and tools, such as big data stack, Python, and visualization techniquesFamiliarity with principles and tools for data governance and stewardshipStrong communication skills and an ability to break down complex information into relevant and digestible points for both inside D+A and externally to the businessExcellent leadership skills, with a team-player attitude to drive the end-to-end implementation of use cases under time pressureDemonstrated 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 teamsStrong people management skills with the ability to develop teams and cultivate talent, including teams composed of various experience levelsProven ability to foster lasting partnerships and persuade/influence at all levels of the organization Ability to think beyond their current state (processes, roles and tools) and work towards an unconstrained, optimized design for future state and use downstream for other PepsiCo global programs (ex. NRM, IBP, etc.)Self-starter who welcomes responsibility, along with the ability to thrive in an evolving organization and an ability to bring structure in the face of ambiguityMatrix management skills, technical and business acumenAbility to arbitrate on difficult decisions and drive consensus through a diplomatic approach, raising awareness of global challenges to the highest executive level

　　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.

　　Please view our Pay Transparency Statement