Senior Manager, Data Product Strategy & Analytics
Everpure · Posted Nov 2
Enterprise data storage and management platform for apps, analytics, and AI
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About the role
Everpure is a data platform company with a strategic agenda spanning hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. The Senior Manager, Data Product Strategy & Analytics owns a portfolio of enterprise-critical Tier 1 data and analytics products from strategy and discovery through delivery, adoption, service performance, and value realization. The role works across product, data engineering, analytics, governance, architecture, security, operations, and business teams to make enterprise data trusted and analytics products useful, including applied AI opportunities.
What you will do
- Tier 1 insights product portfolio strategy. Own the vision, value proposition, target users, product criticality, investment priorities, outcome metrics, and multi-horizon roadmaps for the company's most important data and analytics products. Balance run, grow, and transform priorities across the portfolio.
- Discovery and product lifecycle. Lead stakeholder interviews, user research, decision-journey and process analysis, and opportunity sizing. Translate important business questions into product requirements, priorities, roadmaps, success measures, and an ongoing improvement agenda.
- Product reliability and performance. Define business-critical expectations for accuracy, freshness, consistency, usability, adoption, and support. Partner with Data Engineering team on availability, incident response, and technical remediation while maintaining transparent product-health reporting.
- Trusted data and governance. Establish clear ownership, shared definitions, lineage, and quality expectations for each product. Partner with Data Governance, Security, Privacy, and IT to ensure access, retention, and control requirements are appropriately addressed.
- Advanced analytics and applied AI. Identify where predictive analytics, generative AI, intelligent decision support, or automation can improve a user outcome. Shape prototypes and scalable solutions with clear evaluation measures, monitoring, explainability, controls, and human oversight.
- Executive priorities and strategic execution. Act as a trusted execution partner to senior leaders. Translate priorities into product investments, workstreams, owners, milestones, and decision forums; manage risks and dependencies; and prepare concise business cases, executive updates, and recommendations.
- Adoption and value realization. Lead launch, enablement, communications, and stakeholder engagement. Build feedback loops and measure adoption, satisfaction, decision effectiveness, productivity, revenue, cost, and risk outcomes to demonstrate and improve product value.
- Team and delivery leadership. Lead and develop product managers, analysts, and program resources while creating shared accountability across data engineering, analytics, architecture, governance, business teams, and vendors. Resolve trade-offs and sustain predictable, high-quality delivery.
Skills used in this role
What the employer is looking for
- 15+ years of progressive experience across data and analytics, data-product management, strategic program leadership, transformation, or closely related roles, including leadership of complex enterprise initiatives.
- Demonstrated ownership of enterprise-critical data, analytics, reporting, master-data, or AI products from strategy and business case through delivery, operations, adoption, and measurable impact.
- Strong product-management fundamentals across portfolio strategy, discovery, prioritization, roadmaps, stakeholder governance, product performance, adoption, experimentation, and value realization.
- Sufficient technical fluency to translate business needs and make informed trade-offs with Data Engineering, Architecture, Security, and platform teams. Hands-on engineering, architecture, or platform administration is not required.
- Applied AI fluency, including the ability to identify valuable use cases, assess data readiness and risk, shape user and control requirements, and validate adoption and outcomes in partnership with technical teams.
- Experience defining business expectations and measures for accuracy, freshness, usability, adoption, stakeholder satisfaction, and value, while partnering with technical owners on availability, service levels, and support models.
- Track record of leading multidisciplinary teams and influencing senior executives, business owners, technical leaders, and global partners through competing priorities, risks, dependencies, and decisions.
- Strong commercial, financial, written, verbal, and visual communication skills, including opportunity sizing, business cases, resource planning, executive reporting, and concise product storytelling
Benefits and support
- flexible time off
- wellness resources
- company-sponsored team events
About Everpure
Everpure is an enterprise data storage and management company that unifies all data with an enterprise data cloud, making it easy to manage and get AI-ready fast. Formerly known as Pure Storage, the company delivers an industry-leading, ever-evolving storage and data management platform.
- Industry
- Data Storage
- Company size
- 6000+ employees
- Founded
- 2009
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $470M raised
- 2013-08-29Series E$150M
- 2014-04-23Series F$225M
Leadership
Chairman and CEO
Rob Lee
Chief Technology Officer
Dan FitzSimons
Chief Revenue Officer
Recent coverage
World Wide Technology
Pure Storage Rebrands To Everpure And Announces Intent To Acquire 1touch2026-02-22
Disaster Recovery Journal
Everpure (Formerly Pure Storage) Acquires 1Touch.io to Make GenAI and Agentic AI Enterprise-Ready2026-02-24
CRN
Everpure Reports Second Fiscal Quarter 2027 Financial Results2026-08-27