Sr. Data Product Manager

Confiz is seeking an experienced Senior Data Product Manager to join one of our largest retail clients supporting the evolution of enterprise store reporting and analytics capabilities. This role is a 3-month contract and will play a critical part in defining and executing the long-term product strategy for store reporting experiences, while driving delivery across complex, cross-functional initiatives within a highly matrixed environment.

The ideal candidate is both strategic and execution-oriented, capable of shaping a 1–3 year product vision while also driving day-to-day delivery, stakeholder alignment, and measurable business impact. This individual should possess strong technical fluency in modern BI and analytics ecosystems, exceptional communication skills, and the ability to engage confidently with stakeholders ranging from engineering teams to VP-level leadership.

Responsibilities

• Own and define the multi-year vision and roadmap for store reporting and analytics capabilities, evolving from traditional reporting toward intelligent, proactive, next-best-action experiences.
• Lead the transformation of fragmented, desktop-bound reporting environments into scalable, role-based, device-agnostic analytics experiences delivered through phased strategic initiatives.
• Maintain momentum on enterprise metric definition, governance, and certification efforts across reporting domains.
• Serve as the product voice in architectural, analytics, and data governance discussions.
• Balance long-term strategic planning with near-term delivery priorities aligned to business objectives.
  
  

Delivery & Execution

• Drive delivery across active product initiatives, enhancements, and operational optimizations.
• Independently write detailed user stories, acceptance criteria, and backlog requirements across multiple domain dependencies.
• Maintain and prioritize a refined product backlog based on user impact, business value, technical complexity, and engineering effort.
• Proactively identify and manage risks, cross-functional dependencies, and sequencing tradeoffs while escalating recommendations when appropriate.
• Define and monitor success metrics for launched capabilities, leveraging telemetry, analytics, and user feedback to drive roadmap adjustments and continuous improvement.
• Partner closely with Engineering leadership on scope definition, sequencing, sprint planning, and execution alignment.
  
  

User Research & Customer Insights

• Lead discovery efforts independently across store operations stakeholders including store leaders, department managers, and sellers.
• Synthesize qualitative and quantitative research findings into actionable product opportunities and prioritization decisions.
• Demonstrate strong empathy and understanding of end-user operational workflows and pain points.
  
  

Stakeholder Management & Communication

• Drive alignment across Engineering, Analytics, Data, Store Operations, and executive leadership stakeholders.
• Facilitate technical discussions while translating complex concepts into clear business outcomes for leadership audiences.
• Communicate effectively across all organizational levels, including Director and VP stakeholders.
• Influence roadmap decisions across cross-functional teams without relying on direct authority.
  
  

Qualifications

• 5 years of Product Management experience with demonstrated ownership of a product domain end-to-end at a Senior PM level.
• Experience with enterprise BI and reporting platforms, particularly Looker, and modern cloud data ecosystems such as GCP and BigQuery.
• Strong understanding of dashboard configuration, reporting frameworks, analytics tooling, and data visualization best practices.
• Experience leading platform migration or consolidation initiatives, including stakeholder alignment, legacy deprecation, and organizational change management.
• Strong foundational knowledge of data governance concepts including metric certification, semantic layers, data ownership models, and producer/consumer data relationships.
• Technical fluency in SQL, data warehousing, analytics engineering concepts, and data pipelines sufficient to engage credibly with engineering teams on technical tradeoffs and solution design.
• Proven ability to operate independently within ambiguous, fast-paced, matrixed environments.
• Exceptional written, verbal, and executive communication skills with the ability to tailor messaging to technical and non-technical audiences alike.
• Strong stakeholder management skills with experience partnering across multiple business and technical domains.
• Experience within retail, store operations, workforce management, or omni-channel environments.
• Familiarity with conversational analytics, agentic AI, or LLM-powered product experiences.
• Experience working with store leader personas and operational reporting workflows within large enterprise retail organizations.
• Experience driving intelligent analytics or next-best-action product capabilities.
  
  

We have a global team of amazing individuals working on highly innovative enterprise projects & products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast growth fintech, and multiple Silicon Valley startups.

What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM) and ISO 14001:2015 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.

People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.

To know more about Confiz Limited, visit https://www.linkedin.com/company/confiz/