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Tiger Analytics

Delivers Data and AI transformation

AWS Solution Commercialization Lead

Sales OperationsPosted on Nov 12
Full-timeSanta Clara, CA, USANo salary listedRemote

About the Job

Requirements

  • At least 10 years of experience in Data, Analytics, AI, cloud solutions, solution consulting, or technical go-to-market.
  • Strong familiarity with AWS services and solution architecture.
  • Experience translating technical capabilities into repeatable customer propositions.
  • Strong internal orchestration skills in a matrix organization.
  • Ability to work across domain, engineering, architecture, sales, and delivery teams.
  • Strong written and presentation skills.

Responsibilities

  • Work with AWS go-to-market leadership, Partner Success Managers, Tiger business unit leaders, domain teams, and the US Solutions go-to-market leader to identify the highest-value AWS opportunities.
  • Maintain a focused portfolio of priority plays rather than a broad catalog of disconnected assets.
  • Translate AWS industry and service priorities into solution requirements for Tiger teams.
  • Coordinate creation of AWS reference architectures, AWS-native technology mappings, buyer personas and business outcomes, customer use cases and proof points, demos or rapid proof-of-value assets, seller narratives, commercial packaging, implementation approaches, and funding eligibility where relevant for each priority solution.
  • Mobilize Tiger solution architects, presales, domain subject-matter experts, engineering, research and development, and delivery teams.
  • Act as the single commercialization point for AWS-specific solution requirements.
  • Reduce duplication across Tiger practices and ensure reusable assets are shared across pursuits.
  • Coordinate with Tiger operating system, reusable agent, and accelerator initiatives where applicable.
  • Support Partner Success Managers and the US Solutions go-to-market leader on strategic opportunities.
  • Rapidly assemble solution assets, experts, demos, customer proof points, and architecture support.
  • Ensure field feedback from AWS sellers is incorporated into solution evolution.
  • Identify and maintain 5–7 priority AWS plays.
  • Complete seller-ready AWS offerings and support strategic pursuits using prioritized solutions.
  • Reduce time required to mobilize solution assets for pursuits and increase reuse of Tiger assets across accounts.
  • Drive AWS seller and Tiger Partner Success Manager adoption and pipeline and bookings associated with commercialized plays.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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