# Harnham — Director of Enterprise Data

- Generated: 2026-09-08 02:08:48 PM EDT
- Original/canonical posting: https://www.linkedin.com/jobs/view/4462967832/
- Provider: LinkedIn
- Posted: approximately 2026-09-07 02:08 PM EDT (from '1 day ago')
- Elapsed since posting: represented by the provider's relative posting label and approximate Eastern timestamp
- Applicants: 84 applicants
- Work model/location: Remote — United States
- Compensation: $250,000-$300,000 plus 20% bonus
- Travel: Not disclosed
- Positioning track: Executive leader
- Fit outcome: FAIL — 59%

## Direct-match strengths

Enterprise data platforms, AI-ready data, AWS, APIs, streaming, and governance.

## Hard or material gaps

Hard scale and depth gaps: approximately 60 data professionals and deep hands-on Snowflake at large production scale are required. Keith's largest direct team is about 25; Snowflake depth is insufficient.

## Evidence map

1. Enterprise data strategy (weight 3, evidence 3/3) — Direct.
2. Lead 60 data professionals (weight 3, evidence 1/3) — Materially larger than documented scope.
3. Deep Snowflake (weight 3, evidence 1/3) — Required depth unsupported.
4. AI-ready platforms (weight 3, evidence 3/3) — Direct.

## Full normalized job description

Director of Data
Location: Remote (US)
Salary: $250,000 - $300,000 + 20% bonus + benefits
This is a high-impact leadership opportunity to shape the future of enterprise data within a large-scale, mission-driven organisation. You'll lead a sizeable data engineering function and play a pivotal role in transforming how data powers AI, digital experiences, and business decision-making across the enterprise.
The Company
They are a large, financially strong organisation operating at significant scale within a highly regulated environment. With millions of customer interactions, complex operational ecosystems, and substantial investment in AI and digital transformation, data sits at the heart of their long-term strategy. Leadership is focused on moving beyond traditional reporting towards real-time, AI-enabled data products and conversational experiences.
The Role
You will be responsible for leading the enterprise data engineering organisation, defining the platform strategy, and enabling scalable, AI-ready data products.
Key responsibilities include:
Define and execute the enterprise data platform strategy and roadmap
Lead a team of approximately 60 data professionals across a blended permanent and contractor workforce
Own the delivery of scalable data platforms, pipelines, APIs, streaming capabilities, and real-time integrations
Drive platform reliability, performance, observability, data quality, and cost optimisation
Partner with Data Science, AI Engineering, Governance, and Product teams to deliver AI-ready data products
Lead the shift from traditional dashboard-driven analytics to AI-powered, conversational data consumption
Establish standards for data modelling, metadata, lineage, governance, and platform operations
Influence enterprise-wide modernisation initiatives with strong executive visibility
Your Skills & Experience
Strong leadership experience within enterprise data engineering and platform organisations
Deep, hands-on experience with Snowflake in a large-scale production environment
Expertise across cloud data platforms, ELT frameworks, data operations, streaming, and APIs
Proven success leading large engineering teams and managing blended permanent and contract resources
Experience building modern, scalable data platforms that support AI, machine learning, or GenAI initiatives
Strong understanding of data governance, quality, metadata, lineage, and operational excellence
Excellent stakeholder management and the ability to influence senior leadership
Experience within healthcare, financial services, retail, or another regulated industry is advantageous
What They Offer
Base salary of $250,000 to $300,000
20% annual bonus
Comprehensive healthcare and retirement benefits
High-profile leadership role reporting into senior executive leadership
Opportunity to shape enterprise data strategy during a major AI and digital transformation programme
Significant scope, visibility, and long-term career growth
How to Apply
If you're an enterprise data leader with deep Snowflake expertise and a passion for building AI-ready data platforms at scale, apply today to discuss this opportunity in confidence.

## Artifact metadata

- Resume: Not generated because the fit gate returned FAIL.
- Cover letter: Not generated because the fit gate returned FAIL.
- LinkedIn note: Not generated for a FAIL role.
- Google Drive used: No