Sales and Revenue Operations Technology, SVP, Private Wealth

Blackstone Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Miami, FL
Salary
$176,250–$250,000 / yr
Employment
Full-time
Posted
60 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $213k
$127k $263k
below market most similar roles pay here above market

This role pays more than 71% of similar roles. Most pay $146,353–$220,900 — the blue band above. At the midpoint, this role pays about $213k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Blackstone Inc

Blackstone Inc. operates as a global investment firm specializing in real estate, private equity, credit, infrastructure, and life sciences, focusing on creating long-term value for institutional and individual investors.

Blackstone Inc currently has 24 open roles on FindRole.

Listed pay typically runs $160,000–$200,000 across 17 roles with salary data.

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View all roles at Blackstone Inc

At a glance

TL;DR · Sales and Revenue Operations Technology, SVP, Private Wealth

JOB TITLE: Sales and Revenue Operations Technology, SVP - Private Wealth As a member of the Private Wealth Technology team, the Senior Vice President for Sales and Revenue Operations Technology will lead the strategy and execution of critical sales systems. This hands-on role involves owning the CRM roadmap, including data models, workflows, and integrations, while leading the rollout of AI-driven client conversation intelligence. The successful candidate will rebuild sales reporting from the ground up, establishing accurate data flows and executive dashboards. Key responsibilities include managing the migration from legacy stacks to modern platforms, drafting technical specifications, and coordinating across Sales, Marketing, and Engineering. Required expertise includes enterprise CRM configuration, BI tools, cloud data warehouse tools, and Agile methodologies. The role solves the business problem of creating a faster, smarter sales organization through improved data transparency and automated reporting.

What you'll do

  • Define and deliver the CRM roadmap for the sales organization's data model, workflows, and integrations.
  • Lead the implementation and adoption of AI-powered meeting and client conversation intelligence tools.
  • Rebuild sales reporting from the ground up, including metric definitions, data flows, and executive dashboards.
  • Manage day-to-day delivery and support for the legacy sales stack while executing the migration to new platforms.
  • Translate business needs into technical specifications, MVPs, and prioritized backlogs for engineering teams.
  • Coordinate across Sales, Marketing, Operations, and Data teams to deliver integrated technology solutions.
  • Establish data quality standards, CRM hygiene, and sustainable governance processes across the organization.

What we're looking for

  • Bachelor’s or Master’s degree in Information Systems, Computer Science, Finance, or Business Analytics related fields (preferred).
  • 10+ years of experience in sales technology, revenue operations, CRM delivery, or business analytics roles (preferred).
  • Deep, current hands-on experience owning and configuring an enterprise CRM platform for a sales organization data model, automation, integrations, and adoption.
  • Track record of implementing modern sales tooling, including AI-enabled meeting or conversation intelligence capabilities, and driving real adoption.
  • Demonstrated experience rebuilding sales reporting and analytics end to end, from metric definitions and data pipelines through to executive-ready dashboards.
  • Experience running business-as-usual support and delivery on a legacy platform while migrating off it with minimal disruption.
  • Experience working in agile environments, breaking down features into user stories, and working closely with engineers through the software development lifecycle.
  • Experience with data visualization and BI tools, CRM platforms, agile methodologies, and cloud data warehouse tools.

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