DATA
MANAGEMENT
TALENT SOLUTIONS
Data Management professionals work with all data touch points to get a full picture of how data is being used and then implement the policies and standards that protect it.
As the value, size and regulation of data grows, the data management market follows with professionals in Data Quality, Data Management, MDM, and Data Stewardship on the rise.
Companies now realise the power of their data and understand the need for people to track it, understand how it is being used, and the processes required to look after this asset.
With dedicated consultants hiring in this market, we have a fantastic network of data governance professionals across all levels. If you are looking to build a Data management team, or looking for your next Data management job, please get in touch.
WHY
HARNHAM?
Our reputation as a global leader in data recruitment is built on a foundation of hundreds of dedicated specialists who operate across the United States, Europe, and the United Kingdom.
This extensive network empowers us to offer unparalleled recruitment solutions, matching our clients with the ideal Data Management talent.
We recognize the unique nature of each organization's data management needs.
Our recruitment strategies are, therefore, highly customized, focusing on understanding and aligning with your specific business objectives and data management requirements.
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OUR
SERVICES
- Permanent and Contract Recruitment: We provide both permanent and contract recruitment solutions, ensuring flexibility to meet the evolving needs of your Data Management projects and initiatives.
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- Executive Search: Our executive search service is designed to identify and secure leaders in the Data Management field who can propel your business strategies and data-driven innovations forward.
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- Industry-Specific Expertise: We operate across all industries, offering specialized recruitment solutions that understand and cater to the unique challenges and opportunities within your sector.
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Contact us today to learn how our bespoke talent solutions can enhance your organization's Data Management capabilities.
JOBS
LATEST DATA
MANAGEMENT OPPORTUNITIES
Harnham are a specialist Data & AI recruitment business with teams that only focus on niche areas.
Enterprise Data Architect
New York
$170000 - $200000
+ Data Management & Governance
PermanentNew York
To Apply for this Job Click Here
Enterprise Data Architect
Location: New York City (Hybrid – 3 days onsite)
Secondary: Chicago (Hybrid)
Salary: Up to $200,000 + bonus
Sponsorship: Not available
Harnham is exclusively supporting a world-class global organisation in the search for an Enterprise Data Architect to design and deliver its next-generation data platform.
This is a career-defining opportunity for someone who wants to architect an enterprise data foundation from the ground up and play a central role in how analytics and AI are applied across a complex, global business.
The Role
You’ll lead the design and implementation of a modern Data Lakehouse architecture, taking the organisation from proof-of-concept to a scalable enterprise platform. You’ll work directly with senior leadership and partner closely with DevOps, platform, and business teams to define the long-term data strategy.
What You’ll Be Doing
-
Architecting and building Databricks infrastructure on AWS
-
Designing enterprise lakehouse architecture (Databricks + Snowflake)
-
Defining how data moves across systems and platforms
-
Establishing architectural standards, governance, and cost optimisation
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Partnering with senior stakeholders across technology and the business
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Laying the foundation for analytics, AI, and ML at enterprise scale
What We’re Looking For
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10+ years’ experience in data architecture or enterprise data roles
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Deep hands-on experience with Databricks (essential)
-
Strong background in AWS and Snowflake
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Proven experience building platforms from scratch
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Comfortable operating independently in lean teams
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Strong business and stakeholder communication skills
Why Apply?
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Own and shape an enterprise data platform from day one
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Direct exposure to senior leadership and strategic initiatives
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Work that leaves a lasting, real-world legacy
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Join a best-in-class global organisation at a pivotal moment
Apply through Harnham to discuss this confidential opportunity in more detail.

To Apply for this Job Click Here
Head of Data Strategy & Governance
London
£130000 - £160000
+ Data Management & Governance
PermanentLondon
To Apply for this Job Click Here
Head of Data Strategy & Governance
Central London – 2 days a week in office
Salary: £130,000 – £160,000
This is a senior data leadership role with genuine influence. You will take ownership of how data is governed, trusted and scaled across a fast-growing, technology-led financial services business. With data at the heart of decision-making, this role offers the opportunity to shape strategy, solve complex quality challenges, and build a robust operating model that supports long-term growth.
The Company
They are a technology-driven financial services organisation operating at the intersection of finance and data. Their platform brings together complex financial information to provide clients with a clear, holistic view of their finances and support better long-term decisions. The business has grown rapidly and continues to invest heavily in its data and technology capabilities. The culture is collaborative, delivery-focused, and values ownership and clarity.
The Role
As Head of Data Strategy and Governance, you will define and embed how data is owned, managed, and trusted across the organisation. You will work closely with technology, product, and senior stakeholders to ensure data quality underpins every insight and client outcome.
Key responsibilities include:
- Defining and delivering the data strategy, operating model, and governance framework across the business
- Establishing clear data ownership, standards, and accountability in a federated environment
- Leading data quality initiatives to address real-world issues across multiple data sources
- Building and maintaining a single source of truth, including data dictionaries and master data approaches
- Overseeing the data platform within an AWS and Databricks environment, ensuring scalability and reliability
- Providing strategic oversight of BI and analytics, partnering with teams to enable trusted reporting
- Managing and developing a multi-disciplinary data team spanning operations, governance, and BI
Your Skills and Experience
- Strong commercial experience in data strategy, data governance, and operating model design
- Deep understanding of data quality management, controls, and frameworks
- Experience working with modern cloud data platforms, including AWS and Databricks
- Ability to translate complex data and governance concepts for technical and non-technical stakeholders
- A pragmatic, delivery-focused mindset with the confidence to lead change in a scaling organisation
- Background in regulated or data-intensive environments is beneficial
What They Offer
- Competitive salary with flexibility depending on experience
- Hybrid working with two days a week in a central London office
- Private medical insurance with a comprehensive wellbeing and fitness programme
- 25 days annual leave with the option to carry over additional days
- Pension via salary sacrifice, plus access to multiple salary sacrifice schemes
- Enhanced parental leave, mental health support, and a dog-friendly office
- Study support, time for learning, and home working equipment on request
- Clear scope for progression and influence, with potential equity reviewed after probation
How to Apply
If you are looking to lead data strategy and governance in a growing, data-led organisation, apply now to find out more.
To Apply for this Job Click Here
Data Quality Analyst
Coventry
£450 - £500
+ Data Management & Governance
ContractCoventry, West Midlands
To Apply for this Job Click Here
Location: Coventry – 2-3 days per week
Contract: 6 months
IR35: Inside
Rate: £450-500per day
Start: 5th May
Overview
We’re supporting a business that has recently completed a review of its data landscape and identified data quality as a key gap. Ownership of data quality is currently unclear, with inconsistent processes and limited tooling in place.
You will take ownership of data quality across the organisation, working closely with business and technical teams to profile data, identify issues, and implement scalable quality processes.
Key Responsibilities
- Engage stakeholders across the business to gather data quality requirements
- Assess current data quality issues and define profiling and remediation activities
- Profile datasets to identify inconsistencies, errors, and gaps
- Work with teams to understand data usage and define quality rules and standards
- Implement data quality processes and governance frameworks
- Collaborate with Data Governance, Data Product, Platform, and Engineering teams
- Support the evaluation and potential implementation of data quality tooling
- Develop reporting and monitoring to track data quality improvements
Experience Required
- Strong experience in data quality, data governance, or data management roles
- Hands-on experience with data profiling and defining data quality rules
- Experience working with data quality tools (e.g. Precisely, Informatica or similar)
- Strong Excel skills; exposure to BI tools such as Power BI, Tableau, or Qlik
- Good understanding of data warehouses and data ecosystems
- Proven experience working in corporate environments with multiple stakeholders
- Strong communication skills and ability to work across technical and non-technical teams
- Demonstrated experience driving process improvements or change initiatives
Nice to Have
- Experience with Precisely (DQ+)
- Experience supporting tool selection or implementation processes

To Apply for this Job Click Here
Senior AI Engineer
San Francisco
$180000 - $220000
+ Data Management & Governance
PermanentSan Francisco, California
To Apply for this Job Click Here
Senior AI Engineer (Agentic Systems & LLM Applications)
San Francisco, CA (Hybrid) Tuesday – Thursday (Onsite)
$180,000 – $220,000 base + equity + benefits
About the Company
This organization builds software that helps businesses operate with greater transparency, accountability, and trust. Its platform supports critical workflows around governance, risk, and operational decision-making, enabling teams to manage complex processes with speed and confidence.
The company has reached meaningful scale and is now investing heavily in its next phase – embedding advanced AI directly into core product workflows. This is not an experimentation layer; these are production systems that customers rely on to make real decisions.
Engineering teams operate with high ownership and low overhead. The environment rewards people who take initiative, challenge assumptions, and deliver systems that work in the real world.
About the Role
This is a high-ownership, builder role for engineers who want to push beyond “feature-level AI” and design systems that actually reason, act, and operate in production.
You will own end-to-end development of AI systems – from architecture and design through deployment, evaluation, and iteration. The focus is on building agentic systems and retrieval-driven pipelines that can handle complex, multi-step workflows across large volumes of structured and unstructured data.
This role is best suited for engineers who have already shipped LLM-based systems and want to go deeper – improving system reliability, designing evaluation frameworks, and building AI that can be trusted in high-stakes environments.
You’ll work closely with product and engineering leadership to define what gets built, not just how it gets built.
Key Responsibilities
- Architect and deploy production LLM systems capable of multi-step reasoning and decision support
- Build and scale agentic workflows that automate complex, long-running processes
- Design end-to-end RAG pipelines (ingestion, embeddings, retrieval, ranking, generation)
- Develop evaluation frameworks and guardrails to ensure system accuracy, reliability, and safety
- Optimize systems for latency, cost efficiency, and production performance
- Partner with product and engineering leaders to identify and prioritize high-impact AI opportunities
- Contribute to backend systems and infrastructure supporting large-scale AI deployment
Must Haves
- 7+ years of software engineering experience, including 2+ years building AI/ML systems
- Strong Python expertise and experience building production-grade systems
- Proven track record shipping LLM-based applications into production
- Hands-on experience with RAG pipelines, embeddings, and vector databases
- Experience building agent-based or multi-step AI systems
- Strong system design skills with experience in distributed systems
- Clear ownership of systems from initial concept through production and iteration
Nice to Have
- Experience with workflow orchestration or distributed task systems
- Familiarity with backend systems or TypeScript-based services
- Experience working with document-heavy or high-complexity datasets
- Exposure to evaluation frameworks, monitoring systems, or AI safety practices
Why Join
- Build AI systems that operate in real-world, high-stakes environments – not prototypes
- Own the architecture and evolution of agentic systems used by real customers
- Work on problems where correctness, reliability, and trust actually matter
- High autonomy with direct influence on product direction and technical strategy
- Strong compensation, meaningful equity, and comprehensive benefits
- In-person collaboration Tuesday-Thursday with a focused, high-caliber engineering team
- Opportunity to raise the technical bar alongside engineers who have shipped real systems

To Apply for this Job Click Here
Site Reliability Engineer (Contractor)
London
£540 - £550
+ Data Management & Governance
ContractLondon
To Apply for this Job Click Here
THE COMPANY
Join one of the world’s most recognisable entertainment brands as they continue to scale their global digital commerce platform. You’ll be part of a centralised Technical Operations function supporting revenue‑critical services used by millions of players worldwide. This is a high‑impact role where reliability, scalability, and engineering excellence are at the heart of everything you do.
THE ROLE
As a Senior Site Reliability Engineer, you will take ownership of reliability strategy and operational excellence across key commerce domains, including subscriptions and personalisation services on the PlayStation Network. Operating in a centralised SRE model, you’ll partner closely with product and engineering teams while maintaining horizontal responsibility for production health, resilience, and scalability.
You’ll lead incident response, define reliability standards, influence architectural decisions, and build automation that elevates deployment safety and operational efficiency. This is a hands‑on, senior technical role with direct influence on systems that generate significant global revenue.
Key Responsibilities
Reliability & Risk Engineering
* Identify systemic reliability risks and drive long‑term preventative improvements
* Define and refine SLIs, SLOs, and error budgets aligned to customer and business outcomes
* Lead high‑severity incident response, post‑incident reviews, and remediation planning
Architecture & Resilience
* Influence system architecture to improve scalability, availability, and failure isolation
* Design multi‑region HA, graceful degradation, and disaster recovery strategies
* Evaluate trade‑offs between performance, cost, and operational risk
CI/CD & Deployment Safety
* Enhance CI/CD pipelines with automation and safety guardrails
* Implement safe deployment patterns (canary, blue/green, progressive delivery)
* Ensure robust rollback and recovery mechanisms
Observability & Performance
* Build and evolve observability tooling across metrics, logs, and traces
* Reduce alert fatigue and improve signal quality
* Diagnose performance bottlenecks across infrastructure and applications
Infrastructure & Automation
* Design and operate cloud‑native and containerised workloads at scale
* Use IaC to build resilient, repeatable platforms
* Develop automation frameworks that eliminate manual toil
Leadership & Collaboration
* Mentor mid‑level engineers and champion SRE best practices
* Partner with engineering, product, and security teams to embed reliability into system design
YOUR SKILLS & EXPERIENCE
Required:
* Degree in Computer Science, Engineering, or equivalent experience
* 7+ years in SRE, Production Engineering, or Systems Engineering roles
* Strong understanding of distributed systems, failure modes, and consistency models
* Hands‑on experience operating production workloads in AWS, GCP, or Azure (multi‑region)
* Strong Kubernetes experience in large‑scale production environments
* Proficiency in Go, Python, or Java for tooling and automation
* Proven experience leading high‑severity incidents and driving cross‑team remediation
* Experience designing and operating CI/CD systems with deployment safety guardrails
Preferred:
* Multi‑cloud or multi‑region resilience experience
* Experience with Prometheus, Grafana, Datadog, or similar observability stacks
* Prior mentorship or technical leadership experience
* Experience with Terraform, CloudFormation, or other IaC tools
* Exposure to AI‑assisted tooling for incident analysis or operational insights
BENEFITS
* Competitive salary + bonus
* Hybrid working model
* Excellent pension, healthcare, and wellbeing benefits
* Opportunity to influence global‑scale systems used by millions
HOW TO APPLY
If you’re a Senior SRE who thrives in high‑scale, high‑impact environments and wants to shape the reliability of globally distributed systems, we’d love to hear from you. Apply now or contact Harnham for more information.

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Head of Data Governance
€80000 - €90000
+ Data Management & Governance
PermanentNetherlands
To Apply for this Job Click Here
Job Title: Data Governance Lead
Location: Flexible / Hybrid (Global role)
Organisation: Global Charity (International Operations)
Employment Type: Full-time
About Us
This global charity dedicated to creating lasting social impact across multiple regions worldwide. By combining strong partnerships, evidence-led decision-making, and innovative programmes, we strive to improve lives and build sustainable change. Data plays a central role in how we measure outcomes, ensure accountability, and drive informed decisions across our global network.
The Role
They are looking for an experienced and values-driven Data Governance Lead to shape and oversee our organisation-wide data governance framework. Reporting to senior leadership, you will lead a small, high-performing team and work collaboratively with colleagues across programmes, fundraising, operations, and technology.
This is an exciting opportunity to build strong governance practices that enable safe, ethical, and effective use of data across an international charity environment.
Key Responsibilities
- Develop and implement a clear data governance strategy aligned with organisational goals
- Lead and mentor a small data governance team, fostering collaboration and continuous improvement
- Establish data policies, standards, and procedures to improve data quality, consistency, and accessibility
- Ensure compliance with relevant data protection and privacy regulations across multiple regions
- Act as the organisation’s subject matter expert on data governance and stewardship
- Partner with stakeholders to promote data literacy and a data-driven culture
- Oversee data ownership models, metadata management, and data lifecycle practices
- Identify and mitigate data-related risks
- Support ethical and responsible use of data in programme delivery and reporting
About You
You are a strategic thinker with strong leadership skills and a passion for using data responsibly to support meaningful impact.
Essential experience and skills:
- Proven experience in data governance, data management, or information governance roles
- Experience leading or mentoring a small team
- Strong understanding of data protection and privacy principles (e.g., GDPR and global equivalents)
- Ability to translate technical concepts into clear, practical guidance for non-technical stakeholders
- Excellent stakeholder management and communication skills
- Experience developing policies, frameworks, and governance models
Desirable:
- Experience working in the charity, NGO, or international development sector
- Familiarity with cloud-based data environments and modern data platforms
- Knowledge of data quality, master data management, or data stewardship frameworks
What We Offer
- Meaningful work with global impact
- Flexible and supportive working environment
- Opportunities for professional development
- Collaborative and mission-driven culture
- Competitive salary and benefits package
How to Apply
Please submit your CV and a short cover letter outlining your experience and motivation for the role.

To Apply for this Job Click Here
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Industry Hub
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News & Blog
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