DATA
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Specialist Focus Areas
At Harnham, we specialize in six critical areas within Data Management and Governance:
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- Data Management: Ensuring your data is effectively organized, stored, and maintained to support your business processes and decision-making.
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- Data Governance: Establishing policies, procedures, and standards to manage your data assets and ensure data quality and integrity.
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- Data Quality: Implementing measures and practices to maintain high data quality, ensuring accuracy, consistency, and reliability of your data.
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- Data Protection: Safeguarding sensitive data through robust security measures and compliance with data protection regulations.
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- Data Stewardship: Overseeing data assets and ensuring they are used responsibly and ethically within your organization.
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- Data Security:Â Â Â Â Â Â Â Â Â Protecting your data from unauthorized access, breaches, and other security threats through advanced security practices and technologies.
JOBS
LATEST DATA
GOVERNANCE OPPORTUNITIES
With over 17 years of experience, Harnham has established itself as the leading global authority in data and AI recruitment
AI Readiness Consultant
New York
$65 - $80
+ Data Management & Governance
ContractNew York
To Apply for this Job Click Here
Job Title
AI SME / AI Readiness Expert (Contract)
Intro Harnham
Harnham is supporting a senior AI advisory engagement for a consulting‑led enterprise transformation project. This role sits at the intersection of strategy, governance, and executive decision‑making.
Intro client
You will advise a large, regulated financial organization at a pivotal moment in its AI journey. The initiative has strong executive sponsorship and high visibility across the business.
Role Details
- Role type: AI SME / AI Readiness Expert (Strategic Advisory)
- Location: Remote, EST hours (occasional office visits in NYC optional)
- Contract length: Initial 4 months with potential extension
- Utilization: Full‑time, 40 hours per week
Intro to role
This is a senior advisory role focused on understanding current AI maturity and defining a practical path forward. You will evaluate capabilities, benchmark against peer institutions, and help leadership make informed decisions on AI investment and delivery. The environment is heavily regulated, with tight controls around data and model usage.
Key Responsibilities
- Assess current enterprise AI maturity across people, process, and technology.
- Build enterprise‑level AI readiness assessments and roadmaps.
- Benchmark AI capabilities against peer European banking institutions.
- Advise senior leadership on compliant AI implementation approaches.
- Translate regulatory constraints into practical delivery guidance.
- Support executive decision‑making with clear, structured recommendations.
Requirements: Must have
- Senior‑level experience advising on AI strategy or AI readiness.
- Strong understanding of AI governance, risk, and regulatory constraints.
- Experience working with large, regulated financial services organizations.
- Proven ability to present and influence C‑suite or executive leadership.
- Structured approach to maturity assessments and roadmapping.
Nice to have
- Direct exposure to European or French banking environments.
- Experience working alongside COO‑led or enterprise transformation projects.

To Apply for this Job Click Here
Director, Public & Private Cloud
Dallas
$250000 - $251000
+ Data Management & Governance
PermanentDallas, Texas
To Apply for this Job Click Here
Director, Public & Private Cloud Engineering
A global semiconductor and engineering-led organisation is looking for a Director of Public & Private Cloud Engineering to lead an enterprise cloud platform organisation focused on connecting private and public cloud into one unified environment.
This is a highly strategic leadership role with a strong delivery focus, leading a global engineering organisation across cloud platform engineering, SRE, DevOps, and infrastructure functions.
The Role
Reporting into senior technology leadership, this person will oversee an organisation of 50-100 engineers and leaders across the US and India while driving the evolution of a connected cloud platform environment across both private and public cloud.
The organisation already has strong technical capability across cloud and infrastructure, but the current environment remains fragmented across teams and platforms. This role is focused on bringing those environments together, building alignment across engineering functions, and driving platform delivery across the business.
Key Responsibilities
* Lead a global cloud engineering organisation across platform engineering, SRE, DevOps, and infrastructure
* Drive strategy and delivery across both private and public cloud environments
* Connect siloed infrastructure and platform functions into a unified cloud platform
* Partner closely with senior technical leadership and architecture teams to deliver cloud initiatives
* Oversee Kubernetes, compute, storage, networking, GPU infrastructure, and cloud services across modern environments
* Improve reliability, scalability, automation, and operational efficiency across cloud platforms
* Build trust, autonomy, and strong engineering culture across distributed teams
* Drive modern infrastructure practices using open source tooling and infrastructure-as-code approaches
Required Experience
* 12+ years across cloud, infrastructure, platform engineering, or private cloud environments
* Experience leading managers and senior engineering leaders within enterprise organisations
* Strong experience across both private and public cloud environments
* Deep expertise across AWS plus additional public cloud exposure preferred
* Strong infrastructure automation and IaC experience using Terraform, Ansible, Python, or similar tooling
* Experience building or scaling internal infrastructure platforms or cloud engineering environments
* Strong understanding of networking, security, distributed systems, and infrastructure operations
* Proven ability to deliver technical strategy within complex engineering environments
Preferred Background
* Kubernetes or OpenShift platform leadership experience
* Experience within large enterprise or engineering-led organisations
* Exposure to AI/ML, GPU, or high-performance compute environments
* Strong open source tooling experience
This is a highly visible leadership opportunity within a global engineering environment offering significant ownership, long-term platform impact, and executive-level exposure.

To Apply for this Job Click Here
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Industry Hub
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News & Blog
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
Visit our Blogs & News portal or check out our recent posts below.
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