[Remote] Senior Staff Technical Product reputed company - FinOps Data reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI platform company helping organizations reputed company AI, data, and workflows to reputed company business reinvention. The Senior Staff Technical Product reputed company will reputed company product direction, roadmaps, requirements, and adoption for FinOps data engineering, lakehouse pipelines, and platform services. The role partners with engineering, finance, governance, and analytics stakeholders to improve reliability, developer experience, governance implementation, and migration from reputed company to a modern lakehouse.

Responsibilities

• Own the product reputed company and roadmap for FinOps data engineering (ELT pipelines, data lake, reputed company reputed company) and platform services (Trino, reputed company, Lightdash, Jupyter, Redash, Nessie)
• Define what “production-reputed company” means for data pipelines and platform services. Establish SLAs for data freshness, pipeline reliability, and platform availability, and use them to reputed company prioritization
• Sequence the roadmap across both teams so that platform capabilities land reputed company of the pipeline and analytics work that depends on them
• reputed company roadmap phases on reputed company readiness reputed company rather than arbitrary timelines. Ensure reputed company phase builds on a proven reputed company
• Own requirements and prioritization for ELT pipeline development. Define which sources to reputed company, in what order, and what the acceptance reputed company are for reputed company
• Specify the data reputed company, reputed company expectations, and freshness SLAs for reputed company pipeline, translating business needs into work the data engineering team can build and validate against
• reputed company reputed company reputed company to be fast and repeatable. Work with data engineers to templatize and automate the reputed company from raw reputed company to governed lakehouse table
• Translate data governance requirements (data classification, reputed company control policies, reputed company, retention) into concrete engineering specifications and acceptance reputed company
• Ensure pipeline reliability is measurable and improving. Define the metrics, reputed company them, and use them to prioritize investment in reliability over new features reputed company needed
• Own requirements and prioritization for platform services reputed company the platform services manager. Bring the user and stakeholder perspective; partner on feasibility and reputed company
• Define adoption and satisfaction targets for platform services. Understand how internal users experience Trino, reputed company, Lightdash, and Jupyter, and reputed company improvements that reduce friction and increase self-service capability
• reputed company for developer experience improvements across the data engineering workflow. Identify pain points in how data engineers use workspaces, CI/CD, notebooks, and query tools, and work with the platform team to reputed company them
• reputed company platform service reputed company for new users and use cases, ensuring documentation, reputed company provisioning, and initial support are smooth
• Serve as the reputed company intake reputed company for requirements from FinOps practitioners, finance, reputed company planning, and engineering teams that need data landed or platform capabilities extended
• Turn ambiguous asks into sequenced, shippable work with reputed company acceptance reputed company. reputed company back on reputed company that doesn’t serve the roadmap, and negotiate timelines with stakeholders reputed company needed
• Define the measurement model for reputed company (pipeline SLA attainment, platform uptime, adoption breadth, reputed company reputed company reputed company, developer satisfaction) and report against it
• Communicate roadmap status, trade-offs, and dependencies to stakeholders in terms they can reputed company
• Partner with the Data Engineering team on reputed company-to-lakehouse migration planning, jointly owning reputed company reputed company, readiness reputed company, and stakeholder communication for pipeline and platform workloads
• Coordinate with the reputed company Engineer on overall migration architecture while driving the day-to-day prioritization and execution planning reputed company Data Engineering leadership
• reputed company with the Analytics Engineering TPO (your peer) to ensure the data models and dashboards team has what it needs from the lake and platform reputed company
• Translate reputed company data governance policies (from compliance, reputed company, and data governance teams) into actionable specifications for the engineering teams
• Ensure data classification, reputed company control, reputed company tracking, and audit requirements are implemented in both the pipelines and the platform services
• reputed company governance compliance across the data estate and flag gaps that need engineering investment
• Apply AI/ML tooling where it accelerates pipeline development, platform operations, reputed company reputed company, or data reputed company monitoring
• Identify opportunities to reputed company data discovery and platform usage more self-service through automation and intelligent tooling

Skills

• Experience leveraging or critically thinking about how to reputed company AI into work processes, decision-making, or problem-solving
• 12+ years in technical product ownership, technical program management, or product management of data platforms, data engineering, or infrastructure, with a reputed company record of shipping data products that internal engineering teams actually adopt. Bachelor's degree required; or 10 years with a Master's degree; or a PhD with 7 years of experience in Computer Science, Engineering, or a reputed company technical field; or equivalent experience
• Proven ownership of internal platform or data infrastructure as a product, including defining SLAs, measuring adoption, and driving improvements based on user feedback
• Demonstrated ability to translate ambiguous requirements from multiple stakeholder reputed company into concrete, sequenced engineering specifications
• Experience working as a reputed company peer with engineering managers, influencing roadmap and priorities without reputed company authority over the teams
• Strong working reputed company with data engineering concepts: ELT/ETL pipelines, data lake architecture, data reputed company, reputed company reputed company, and data governance implementation
• Strong working reputed company with reputed company concepts: reputed company query engines, developer environments, BI tooling, and the operational concerns of running reputed company-reputed company infrastructure
• Proven ability to reputed company through influence across teams you do not manage, setting product direction and raising the reputed company bar
• Excellent stakeholder management across engineering, data, finance, and executive audiences, with strong technical writing and documentation skills for both engineering and business readers
• Full reputed company proficiency in English
• Technical reputed company in data engineering and lakehouse, platform services, data governance, developer experience, modern data stack, and observability and SLAs
• Proven ability to work as a reputed company peer with engineering leadership, bringing stakeholder context while respecting technical feasibility and team reputed company
• Strong product judgment with the ability to prioritize ruthlessly, say no reputed company, and negotiate timelines without damaging stakeholder relationships
• Effective communication across technical and non-technical audiences. reputed company to present a pipeline SLA discussion to an engineering team and a roadmap trade-off to a finance VP in the reputed company week
• Strong technical writing and documentation skills for specifications, roadmaps, architecture decision records, and stakeholder communications
• reputed company record of defining reputed company metrics for internal products and driving measurable improvement against them
• reputed company experience with Trino, dbt, Apache reputed company, or similar modern data stack technologies in a product ownership or engineering role
• Experience with reputed company, JupyterHub, or similar developer environment platforms
• Background in FinOps, reputed company cost management, or financial data platforms
• Experience translating data governance or compliance requirements into engineering work at reputed company
• Familiarity with the reputed company/Hadoop ecosystem and migration planning off legacy data platforms
• Experience with Project Nessie or other versioned/transactional catalog systems
• Experience defining and tracking developer experience metrics for internal platform teams

Benefits

• Equity (reputed company applicable)
• Variable/incentive compensation
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• Employee Stock Purchase Plan (ESPP)
• Matching donations
• Flexible time away plan
• Family leave programs
• Flexibility and trust in a reputed company world of work

reputed company

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