Senior Manager - Data And Analytics

Pure Storage, Inc.; Bengaluru; On-site; INR 350,000 - 650,000; Full time

Job summary

Everpure is seeking a hands-on leader to own data, analytics, and AI products end to end. You will be the single point of accountability between business stakeholders and the analytics organization, shaping the roadmap and leading developers, analysts, and data scientists to deliver trusted, widely adopted products.

You will drive requirements sessions, data model reviews, SQL, dashboard design critiques, and model evaluations, with emphasis on business outcomes and adoption rather than backlog

Qualifications

• Experience leading data analytics teams and delivering data products.
• Ability to gather and translate business questions into actionable specs.
• Strong proficiency with SQL and dashboard tools.
• Excellent communication and stakeholder collaboration.

Responsibilities

• Lead a team of developers, analysts, and data scientists to deliver analytics products end-to-end.
• Mentor team members and drive professional growth.
• Capture requirements, define data sources, grains, SLAs, and KPIs.
• Translate business questions into testable specifications and drive a single source of truth for metrics.
• Prioritize roadmap items using value, reach, effort, and risk criteria.

Skills

Team Leadership

Stakeholder Management

Requirements Elicitation

SQL

Data Visualization

Tools

SQL

Dashboard Design

Job description

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 youre ready to seize the endless opportunities and leave your mark, come join us.

THE ROLE

We are looking for a hands-on leader to own the data, analytics, and AI portfolio end to end — and the team that builds it. You arethe single point of accountability between business stakeholders and the analytics organization: gathering and pressure-testingrequirements, turning ambiguous problems into a prioritized roadmap, and leading the developers, analysts, and data scientistswho deliver scalable, trusted, widely adopted products.This is not a role that manages from a distance. You will be in the requirements sessions, the data model reviews, the SQL, thedashboard design critiques, and the model evaluations — and you will be measured on adoption and business outcomes, notbacklog size or model sophistication.

WHAT YOULL DO

Team Leadership & Talent

• Lead the team. Manage a talented team of senior and junior developers, analysts, and data scientists — setting direction on best practices, engineering standards, and alignment with team priorities.
• Develop people. Mentor team members, connecting their personal and professional goals to real career growth; set the standard for rigor and craft.

Stakeholder Partnership & Requirements

• Be the trusted partner. Serve as the primary interface to the different organizations and run structured discovery to elicit underlying needs, not feature requests.
• Write requirements that hold up. Translate business questions into testable specs: source systems, grain, metric definitions, SLAs, quality thresholds, and acceptance criteria. Drive a single source of truth for core metrics and arbitrate definitional conflicts.
• Simplify the complex. Navigate ambiguous, politically loaded problems and distill them into actionable messaging that aligns with business priorities and lands with executives. Prioritization,

Roadmap & Datamart Strategy

• Own the roadmap. Manage, prioritize, and align data, reporting, and analytics requirements with business needs, overseeing development and implementation.
• Make trade-offs explicit. Apply a consistent prioritization framework — value, reach, effort, risk, strategic fit — and communicate the rationale transparently, including to stakeholders you deprioritize.
• Shape strategy at the table. Play a key role in cross-functional committees defining data mart strategy, governance, and policy; invest ahead of demand in capabilities that make future requests cheaper to serve.

Visualization & Experience Design

• Design for the decision. Set the