---
title: 'Engagement Lead - Enterprise Data Warehouse at Bounteous'
canonical: 'https://feeny.ai/job/engagement-lead-enterprise-data-warehouse-bounteous-united-states-pzft5ge2jrxn'
type: 'job'
last_seen: '2026-09-13'
---

# Engagement Lead - Enterprise Data Warehouse at Bounteous

- **Company:** Bounteous
- **Location:** United States
- **Employment:** contract
- **Work type:** remote
- **Posted:** 2026-08-22
- **Last confirmed live:** 2026-09-13
- **Apply:** https://jobs.lever.co/bounteous/7da08609-c358-400c-a2bf-d75573ed033f

## Job description

Bounteous is a global AI Services firm where agentic engineering and human experience converge to deliver transformative business outcomes for the enterprise. We help organizations design, build, and scale AI-driven products, platforms, and processes. With more than 5,000 team members worldwide, Bounteous delivers AI that sticks, powering adoption and outcomes that move organizations from experimentation to true transformation. Bounteous is backed by New Mountain Capital, a New York-based growth-oriented investment firm that emphasizes business building.

This is the person who owns the client relationship at the delivery level and pulls the engagement toward real business outcomes. They take what the client's leadership actually needs and shape it into a prioritized, well-defined scope the delivery team can execute against. They sit between the CIO's office and our Snowflake and Power BI work as a strategic partner — not a pass-through for tickets.

Information Security Responsibilities

- Promote and enforce awareness of key information security practices, including acceptable use of information assets, malware protection, and password security protocols
- Identify, assess, and report security risks, focusing on how these risks impact the confidentiality, integrity, and availability of information assets
- Understand and evaluate how data is stored, processed, or transmitted, ensuring compliance with data privacy and protection standards (GDPR, CCPA, etc.)
- Ensure data protection measures are integrated throughout the information lifecycle to safeguard sensitive information

Role & Responsibilities:

- Define the use cases: Get in the room with client stakeholders, uncover the decisions each report needs to drive, and lock down the use case before anything hits the backlog
- Prioritize ruthlessly: Sequence the 13+ dashboards and the underlying data remediation by business value.
- Write requirements that hold up: Produce clear, testable business requirements. No dashboard ships without a named owner, a defined purpose, a descriptive title, and a consistent layout
- Own quality, end to end: Catch any broken reports immediately
- Stakeholder management: Engage the CIO and business stakeholders directly.
- Partner with delivery: Work hand in hand, day to day, with the Snowflake remediation and Power BI teams, holding the line on scope and standards

Preferred Qualifications:

- Has led enterprise data warehouse engagements end to end, ideally on Snowflake with Power BI as the reporting layer
- A true requirements and use-case thinker — not just a project coordinator
- Thrives with demanding senior clients (CIO/CFO/COO level) and builds trust fast
- Not afraid to say no, and able to defend a priority call under pressure
- Sharp data quality instincts — catches UTM, integration, and pipeline issues before they become problems

We invite you to stay connected with us by subscribing to our monthly job openings alert here.

Bounteous is proud to be an equal opportunity employer. Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law. Bounteous is willing to sponsor eligible candidates for employment visas.

#BI-Remote #LI-Remote

## About Bounteous

## Company Overview
- **One-liner**: Bounteous is a global AI services firm that helps enterprises design, build, and scale AI-driven products and processes, combining agentic engineering with human experience to deliver measurable business outcomes.
- **Entity Type**: Private (Private Equity-backed; led by New Mountain Capital in 2021)
- **Headquarters**: Frisco, Texas, United States
- **Founded**: Not publicly available
- **Founders**: Not publicly available

## Core Business
- **Primary industry/industries**: IT Services & IT Consulting, AI Services, Digital Transformation
- **Target customers**: B2B, Enterprise (Financial Services, Healthcare, Retail, Telecommunications, Consumer Goods, Travel & Hospitality, Industrial & Manufacturing, Media & Entertainment)
- **Mission or purpose statement**: “Making AI actually work inside the enterprise” – moving from experiments to operationalized, scalable AI transformations.

## Products & Services
For each major offering:
- **Intelligent Product Engineering**: Accelerates software delivery with agentic engineering, cloud-native development, and AI-powered automation.
- **AI-Enhanced Experience Transformation**: Unlocks growth through AI-led, human-centered design and personalization.
- **Modern Business Platforms**: Maximizes platform ROI (Adobe, Salesforce, etc.) with AI integration and data strategy.
- **Agentic Business Reinvention**: Transforms workflows with autonomous AI teammates that operate within enterprise processes.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of **$233M** (LinkedIn) | Total Funding: Private Equity round in 2021 (amount not disclosed), led by New Mountain Capital
- **Notable Investors/Partners**: New Mountain Capital (investor). Partners include Anthropic, Adobe, AWS, Microsoft Azure, Databricks, Snowflake, and Salesforce.
- **Growth Signals**: Headcount of **1,974** (+24.9% YoY, +612 employees), active job postings up 86.2% monthly, 54 open positions, operations in 15 countries, acquisition of Accolite Digital in 2024.

## Competitive Advantages
- **Agentic Engineering + Human Experience**: Unique convergence of technical AI delivery and user adoption strategy.
- **Deep Industry Specialization**: Dedicated teams for Financial Services, Healthcare, Retail, Telecom, Travel, and more.
- **Certified AI Governance**: Security, compliance, and responsible AI frameworks (SOC 2, etc.) that enable enterprise-scale deployment.
- **Strong Partner Ecosystem**: Ties with Anthropic, major cloud providers, and platforms like Adobe & Databricks.

## Strategic Focus
- Scaling enterprise AI from pilots to production using agentic architectures.
- Expanding industry-specific AI solutions (e.g., pharmacy, logistics, guest experiences).
- Building out applied AI engineering talent and accelerating go-to-market with partners like Anthropic.
- Emphasis on "AI that sticks" – driving adoption and measurable ROI.

## Why Work Here
- **Culture highlights**: “Co-innovation” culture, global team across 5+ countries, emphasis on AI-first engineering, and human-centered design.
- **Remote/hybrid/office policy**: Mix of onsite, hybrid, and remote roles depending on location (e.g., Cincinnati, Scottsdale, London, Budapest, Gurugram).
- **Notable perks or engineering culture**: Exposure to cutting-edge AI/ML projects, partnerships with top tech vendors, structured career paths, and use of AI tools in the hiring process (with human oversight).
- **Growth trajectory**: Rapidly growing headcount (24.9% YoY), strong pipeline of enterprise clients, and recent acquisitions signal expansion.

## Sources
1. [bounteous.com](https://www.bounteous.com/)
2. [bounteous.com/about](https://www.bounteous.com/about)
3. [bounteous.com/careers](https://www.bounteous.com/careers)
4. [linkedin.com/company/bounteous](https://www.linkedin.com/company/bounteous)
5. [jobs.lever.co/bounteous](https://jobs.lever.co/bounteous)

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