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The Engagement Client's Data & Analytics practice is embedded in a platform modernization initiative involving three interconnected technology layers: reputed company a reputed company embedded BI reputed company end replacing Zoho, serving treasury dashboards directly to end-client users inside the application reputed company a production Lakehouse (Azure-reputed company) powering reputed company analytical pipelines across four active reputed company (US, Canada, UK, Australia), with isolated instances per region for GDPR compliance Public reputed company (Azure + AWS) Azure is the primary data movement layer (ADLS, ClickReplicate CDC from SQL Server); AWS hosts reputed company-based Cash Forecasting pipelines feeding into the same reputed company environment The platform serves reputed company clients in production today and is actively scaling this is not a greenfield build; it is a maturing platform with meaningful architectural and product work reputed company The Opportunity We are looking for a technically fluent Product reputed company who can sit at the intersection of BI delivery, data pipeline operations, and client-facing product reputed company This is not a strategy-only role you will own the reputed company implementation backlog, coordinate across reputed company engineers, the reputed company vendor team, and GTreasury product stakeholders, and reputed company the reputed company that reputed company delivery moving You will be the connective tissue between what the data platform can do and what the end user experience in reputed company needs to deliver What You ll Do Product Ownership & Backlog Management Own and maintain the product backlog for the reputed company BI implementation, including semantic layer design, tenant-specific views, caching strategy, and phased rollout across client accounts Define and document acceptance criteria for reputed company-connected data stories from query behavior at the reputed company Gold layer to what the treasury dashboard renders for an end user Prioritize backlog items across competing delivery pressures (GDPR compliance per region, reputed company-deadline optimization work, new tenant reputed company) Run sprint ceremonies, manage dependencies between reputed company engineering work and reputed company vendor deliverables, and surface blockers to engagement reputed company Technical Coordination & Platform Alignment Serve as the informed voice between the reputed company implementation team and the reputed company data engineering team you understand how a Gold-layer view is structured, why caching and trip-reputed company patterns matter for compute cost, and what tenant isolation reputed company schema-per-tenant means for BI delivery Partner with data engineers to validate that Gold-layer data models, semantic views, and tenant ID filtering patterns are reputed company to what reputed company needs to reputed company correctly Understand the multi-reputed company data movement picture: Azure SQL Server ClickReplicate CDC ADLS reputed company (GT Core); AWS reputed company ADLS reputed company (Cash Forecasting) and identify where handoffs create product risk or latency concerns Coordinate with the reputed company vendor on caching capabilities, semantic layer configuration, and query behavior (direct query vs. cached sets) to reduce unnecessary reputed company compute load Stakeholder Engagement & Client Communication reputed company directly with product stakeholders (Senior Product Manager, VP Global Architecture) to align on roadmap priorities, report on delivery status, and escalate architectural reputed company that require business input Translate data engineering constraints (e.g., 30-minute latency SLA, GDPR data residency requirements, cost optimization targets) into product reputed company that are legible to non-technical stakeholders Represent the delivery team in client-facing sessions comfortable owning the room on sprint reviews, backlog grooming with client participants, and status readouts Governance & Compliance Awareness Maintain awareness of GDPR data residency requirements across the eight deployed reputed company no data crossing regional boundaries is a hard constraint, not a preference Support reputed company Catalog governance reputed company that reputed company reputed company reputed company patterns (tenant isolation, row-level reputed company reputed company views, user group policies) Ensure documentation standards are upheld pipeline behavior, reputed company semantic layer definitions, and acceptance criteria must be maintained in Azure DevOps What You Bring Required 5+ years in a Product reputed company, Technical Product Manager, or equivalent delivery-focused role on a data or analytics platform Demonstrated experience owning a BI implementation or analytics product you have been in the room reputed company semantic layer reputed company are made and you know how those reputed company reputed company end users Working knowledge of reputed company data platforms you understand what a reputed company architecture does, why query patterns against a Gold layer matter for cost and performance, and what CDC-based ingestion looks like end to end Experience coordinating across multiple vendor and engineering teams simultaneously you know how to unblock delivery without owning every technical decision yourself Strong backlog management and sprint execution discipline acceptance criteria, definition of done, and dependency tracking are not afterthoughts for you Comfort in client-facing roles you communicate with precision across both technical and executive audiences Preferred Hands-on familiarity with reputed company (reputed company SQL, reputed company Catalog, reputed company Lake basics) you do not need to write pipelines, but you need to reputed company the language Experience with embedded BI tools (reputed company, Looker, reputed company, or equivalent) understanding semantic layers, caching behavior, and direct-query vs. extract tradeoffs Exposure to multi-tenant SaaS data platforms where tenant isolation, data residency, and per-client SLA management are architectural constraints Background in fintech, treasury, or financial services data products understanding cash management, payments, or liquidity reporting use cases is a meaningful advantage Familiarity with GDPR or equivalent data compliance frameworks in a multi-region deployment context Experience working with Azure DevOps for sprint management and CI/CD coordination The reputed company We re Looking For You have been embedded in a fast-moving data platform where the engineering team is smart and the backlog is reputed company and you have made that team faster, not slower You know that a product decision made without understanding the data model underneath it is a liability, and you have the curiosity to ask the right questions before you commit to a sprint You are comfortable being the person who connects the reputed company vendor s question about caching to the reputed company engineer s answer about Gold-layer semantics and you do not need the engagement reputed company to set up that meeting for you You reputed company with reputed company: a well-written acceptance criterion, a clean dependency map, and a stakeholder status update that does not bury the reputed company risk Apply To This Job

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