Product Manager : Enterprise Data Operations

Product Manager : Enterprise Data Operations
Empresa:

(Confidencial)


Lugar:

Apurímac

Detalles de la oferta

Product Manager:Enterprise Data Operations Barcelona, CataloniaProduct Manager:Enterprise Data OperationsBarcelonaOverview LI:HybridLocations:Barcelona, Spain; Vitoria:Gasteiz, SpainWith data deeply embedded in our DNA, PepsiCo Data and Analytics (D+A) transforms data into consumer delight. We build and organize business:ready data that allows PepsiCo's leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise.Position Overview:Within D+A's Enterprise Data Operations organization, the Technical Data Product Management Manager delivers three critical dimensions:End:to:end Data + Analytics delivery execution ownership and optimization of resource assignment, sequencing, allocationTranslation between Business and Technical domainsHorizontal visibility across Products and Projects to help drive re:use and reduce redundancy/duplication in the D+A and broader PEP portfolioResponsibilities Delivery Feasibility and AccountabilityManage 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 goalTranslationLead the "Articulation of the questions that can be answered" and address the core challengesought to be resolved by the Business customerWork with Importante empresa and data science teams to write and steward user stories andrequirements in Azure DevOpsTranslate the analytics solutions back to the business to ensure its actionable and businesscan drive value from those insightsSimultaneously ensure Data Importante empresa and Data Science teams are spending optimal timeat work in their specialties while ensuring the businessunderstands what is going to bedelivered 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 customerTechnical Documentation and ArtifactsWork with multiple stakeholders to author technical data requirements for a technicalaudience (+ 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 valueis communicated to key stakeholdersPresentation, Narrative and AdoptionOwn presentation of DE/DS output to Business Customer, or support when presented as partof Digital ProductHelp track benefits of these insights to leadership to drive acceptanceCollaborates with Practices (ETO, DPS, DX, VCT, etc. ) for embedding analytics solutions inthe business and overcoming implementation difficultiesRelationship and Stakeholder ManagementEnsure Business customer expectations from D+A are managed and seek to eliminatedisconnect on what can be addressedRelationship and Stakeholder ManagementEnsure Business customer expectations from D+A are managed and seek to eliminatedisconnect on what can be addressedQualifications Bachelor's degree8+ years of Product Management, Data Analytics, Science and Management in businessfacing functions1+ years experience in Food/Beverage/Manufacturing or Consumer Products industry3+ years of experience leading/building advanced analytics and big data solutions or buildingenterprise 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 versuspredicting, performanc


Fuente: Whatjobs_Ppc

Requisitos

Product Manager : Enterprise Data Operations
Empresa:

(Confidencial)


Lugar:

Apurímac

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