Senior Manager, Data Product Strategy & Analytics at Pure Storage in Bangalore, India

Job description

• 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 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.

Responsibilities

• 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.

Requirements

• 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

Skills

Required

• Data and analytics product management
• Strategic program leadership
• Product management fundamentals
• Technical fluency
• Applied AI fluency
• Stakeholder management
• Communication skills
• Team leadership

Benefits

• Innovation: We celebrate those who think critically, like a challenge, and aspire to be trailblazers.
• Growth: We give you the space and support to grow along with us and to contribute to something meaningful. We have been named Fortune's Best Workplaces in Technology™, Fortune's Best Workplaces in the Bay Area™, and certified as a Great Place to Work®!
• Team: We build each other up and set aside ego for the greater good.
• And because we understand the value of bringing your full and best self to work, we offer a variety of perks to manage a healthy balance, including flexible time off, wellness resources, and company-sponsored team events. Check out http://benefits.everpuredata.com/ for more information.