Jobs / India / Pure Storage INC
Senior Manager, Data Product Strategy & Analytics
Pure Storage INC · 🌍 Bangalore, India
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereNo government sponsor record covers this employer in this country.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesWe don’t have visa salary rules for this country yet.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Pure Storage INC
No government sponsor record covers this employer in this country.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pure Storage INC →
About the role
Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Senior Manager, Data & Analytics Products owns a portfolio of enterprise-critical Tier 1 products from strategy and discovery through delivery, adoption, service performance, and value realization. The role connects executive and business priorities to product roadmaps and leads across product, data engineering, analytics, governance, architecture, security, operations, and business teams. The ideal candidate is a data and analytics leader with strong product judgment: commercially grounded, technically fluent, practical in the application of AI, and skilled at aligning senior stakeholders and global delivery teams. Success requires the ability to make enterprise data trusted, analytics products useful, and complex strategic programs executable - without requiring hands-on engineering or model development. WHAT YOU'LL 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. We are primarily an in-office environment and therefo