Business Systems (IT部門) の求人一覧 - コカ･コーラボトラーズジャパン株式会社

仕事内容Position Overview:The Lead Data Product Owner – D&A, Corporate Functions is responsible for defining, prioritizing, and delivering data products that enable better decision-making, process efficiency, and measurable business outcomes across Corporate Functions such as Finance, HR, Legal, Procurement, Risk, and Communications. This role acts as the bridge between business stakeholders and D&A delivery teams, translating strategic priorities into a clear product roadmap, well-defined requirements, and an outcome-based backlog. The role owns the end-to-end lifecycle of assigned data products—from opportunity identification and use-case prioritization through design, build, release, adoption, and value realization. The Lead Data Product Owner ensures that data products are business-relevant, scalable, governed, and aligned to enterprise data standards, architecture principles, and digital transformation priorities. Responsibilities：Product Strategy & Roadmap Ownership • Own the vision, strategy, and roadmap for data products supporting Corporate Functions. • Identify and prioritize high-value business use cases that improve decision-making, transparency, automation, compliance, and performance management. • Translate business strategy and functional priorities into a sequenced data product roadmap with clear value cases and delivery milestones. • Ensure alignment between data product roadmaps and broader enterprise D&A, digital, and platform strategies.Business Partnership & Demand Shaping • Serve as the primary D&A product interface for Corporate Function stakeholders. • Partner with functional leaders, process owners, and SMEs to understand business pain points, decisions to be enabled, and process improvement opportunities. • Facilitate structured intake, requirement workshops, and prioritization sessions. • Challenge and refine business requests to ensure clarity, feasibility, reusability, and value creation.Backlog Management & Requirement Definition • Convert business requirements into epics, features, user stories, and acceptance criteria. • Maintain a healthy, prioritized product backlog aligned to business value, dependencies, and delivery capacity. • Define MVP scope and phased releases to accelerate value delivery while managing risk and complexity. • Ensure stories are sufficiently detailed and ready for design, engineering, testing, and deployment.Cross-Functional Delivery Leadership • Work closely with data engineers, analytics engineers, BI developers, architects, data governance teams, and program leads to deliver high-quality data products. • Drive alignment across business, technology, and external partners where applicable. • Support sprint planning, solution reviews, UAT readiness, and release decision-making. • Proactively identify, escalate, and resolve blockers, risks, and dependency issues.Data Product Governance & Quality • Ensure data products adhere to enterprise standards for data quality, security, privacy, stewardship, and lifecycle management. • Partner with governance and architecture teams to align definitions, business rules, metrics, lineage, and semantic models. • Promote standardization and reuse of data assets, KPIs, and reporting logic across Corporate Functions. • Ensure appropriate controls are embedded for sensitive corporate data domains.Adoption, Change Management & Value Realization • Drive business adoption of delivered data products through strong stakeholder engagement, communication, training, and feedback loops. • Define success metrics and track product performance, adoption, business outcomes, and benefit realization. • Continuously gather user feedback and convert insights into product improvements and future releases. • Publish outcomes, lessons learned, and impact stories to sustain stakeholder engagement and investment.Leadership & Team Enablement • Provide product ownership leadership across the assigned portfolio of Corporate Function data products. • Coach junior product owners, analysts, or delivery partners on backlog management, value framing, and business requirement quality. • Foster a culture of collaboration, accountability, continuous improvement, and customer-centric thinking. • Help establish best practices for data product management within D&A.　Mandatory Requirements:Education:Bachelor’s degree in computer science, Information Systems, or a related field. Advanced degree or relevant certification is a plus.Experience:• 7+ years of experience in data, analytics, product ownership, business analysis, or digital transformation roles. • Strong experience partnering with Corporate Functions such as Finance, HR, Procurement, Legal, Risk, or Communications. • Proven track record in defining and delivering data products, dashboards, analytics solutions, or decision-support capabilities. • Experience working in cross-functional, matrixed environments with business and technology teams. • Experience in agile delivery, product backlog management, and phased release planning. • Experience driving adoption and benefit realization, not just technical delivery. Business & Functional Knowledge • Strong understanding of Corporate Function processes, KPIs, and decision-making needs. • Ability to connect business priorities with data, analytics, and digital enablement opportunities. • Understanding of governance, risk, privacy, and control expectations relevant to corporate data domains.Technical / Data Competencies:• Strong understanding of data product concepts, data modeling principles, KPI design, and semantic layer thinking. • Familiarity with modern analytics ecosystems such as Power BI, Azure data platforms, enterprise data warehouses/lakes, and workflow/integration tooling. • Ability to work effectively with engineering, architecture, and governance teams without needing to be the hands-on builder. • Understanding of data quality, metadata, lineage, access control, and stewardship practices.Behavioral Competencies: • Excellent stakeholder management and influencing skills • Strong problem-solving and structured thinking • Ability to prioritize effectively in a complex, multi-stakeholder environment • Strong communication and facilitation skills • High ownership mindset with strong attention to value realization • Ability to lead through ambiguity and drive alignment across differing prioritiesPreferred / Nice-to-have requirements:• This role may support a portfolio of data products across multiple Corporate Functions. • The role requires close collaboration with D&A platform, governance, architecture, and business change teams. • Experience in FMCG / consumer goods / large enterprise transformation environments is preferred. • Strong executive communication capability is important, as the role may regularly engage senior functional stakeholders.   Required Language Capabilities:Japanese – fluent  English – business  Other special remarks to note:KPIs to build and monitor: • Adoption rate of delivered data products across target business users • Business value delivered through automation, productivity improvement, risk reduction, or decision acceleration • Backlog health and roadmap predictability • Delivery of MVP and release milestones on time and to expected quality • Stakeholder satisfaction and engagement across Corporate Functions • Standardization and reuse of common KPIs, semantic models, and governed data assets • Reduction in manual reporting and fragmented data definitions • Measurable improvement in decision quality, visibility, and business process performance