DATA
GOVERNANCE
FOCUS
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
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.
To Apply for this Job Click Here
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
Senior Data Governance Analyst
London
£50000 - £65000
+ Data Management & Governance
PermanentLondon
To Apply for this Job Click Here
SENIOR DATA GOVERNANCE ANALYST
LONDON – 4 DAYS/WEEK
UP TO £65,000
Company
A leading global professional services firm is expanding its Data Governance function and investing in its data management capabilities. Operating across multiple regions and business lines, the firm relies on trusted, high-quality data to support operational decisions and leadership insights. You’ll be joining a central data team with strong senior sponsorship and a clear mandate to improve data governance across the organisation.
Responsibilities
As a Data Governance Analyst, you will take a hands-on role in maintaining and enhancing the firm’s data governance capabilities. Key responsibilities include:
- Liaising with Data Stewards to understand their data requirements and chairing Data Stewardship Council meetings
- Leading metadata import and curation within the firm’s Data Management Technology (DMT)
- Designing and building data catalogue content, metadata models, and workflows
- Developing and maintaining business process and lineage areas within the DMT
- Analysing business processes to identify improvements in data management and analytics
- Supporting the Data Governance Framework through user stories, use cases, and functional requirements while tracking the issues backlog
- Conducting gap analysis to identify limitations in existing data management systems
- Participating in user acceptance testing to ensure DMT meets business needs
- Creating comprehensive documentation including data definitions, source information, transformation rules, and usage guidelines
- Ensuring Data Governance key assets (Business Glossary, Data Dictionary, Reference Data List, Lineage, and Business Process Maps) are up to date and used effectively
- Delivering DMT and Data Steward training and keeping materials current
- Supporting a central reference list repository and adopting external or industry data standards
- Defining and managing data domains to ensure consistency, integrity, and alignment with business objectives
- Implementing and monitoring data quality standards
- Contributing to firm-wide data strategy initiatives that empower Data Stewards and improve governance practices
Requirements
- Bachelor’s or Master’s degree
- Strong analytical and problem-solving skills
- Minimum of 3 years experience in Data Governance specifically
- Experience working in Law, Professional Services or Consulting a must have
- Knowledge of data management, data governance, and analytics best practices
- Excellent communication and interpersonal skills with the ability to bridge business and technology
- Proactive self-starter capable of working independently and as part of a team in a fast-paced environment
- Strong attention to detail and ability to manage multiple priorities
- Experience producing business documentation, including user stories, use cases, and functional requirements
- Familiarity with Agile and Waterfall project management methodologies
- Knowledge of metadata management concepts, modelling, tools, and standards is beneficial
To Apply for this Job Click Here
Data Analytics Engineer
Austin
$140000 - $160000
+ Data Management & Governance
PermanentAustin, Texas
To Apply for this Job Click Here
About the Role
We are looking for a Data Analytics Engineer who sits at the intersection of data engineering and analytics. In this role, you will transform raw, messy data from vehicles, APIs, and operational systems into clean, reliable datasets that are trusted and widely used-from engineering teams to executive leadership.
You will own data pipelines end to end and build dashboards that surface insights, track performance, and help teams quickly identify issues.
What You’ll Do
- Build and maintain ETL pipelines that ingest data from diverse internal systems into a centralized analytics warehouse
- Work with unique and high-volume datasets, including vehicle telemetry, sensor-derived signals, logistics data, and system test results
- Write efficient, well-structured SQL to model and prepare data for analysis and reporting
- Design, build, and maintain dashboards (e.g., Grafana or similar) used to monitor system performance and operational health
- Partner closely with engineering, operations, and leadership teams to understand data needs and deliver actionable datasets
- Explore internal AI- and LLM-based tools to automate analysis and uncover new insights
What You’ll Need
- Strong hands-on experience with Python and data libraries such as pandas, Polars, or similar
- Advanced SQL skills, including complex joins, window functions, and query optimization
- Proven experience building and operating ETL pipelines using modern data tooling
- Experience with BI and visualization tools (e.g., Grafana, Tableau, Looker)
- Familiarity with workflow orchestration tools such as Airflow, Dagster, or Prefect
- High-level understanding of LLMs and interest in applying them to data and analytics workflows
- Strong ownership mindset and commitment to data quality and reliability
Nice to Have
- Experience with ClickHouse or other analytical databases (e.g., Snowflake, BigQuery, Redshift)
- Background working with vehicle, sensor, or logistics data
- Prior experience in autonomous systems, robotics, or other data-intensive hardware-driven domains
To Apply for this Job Click Here
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Industry Hub
HARNHAM
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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Testimonials
Client and
candidate
testimonials
A trusted partner of professionals
across the globe.
We understand the challenges our
customers face and offer the
recruitment solutions needed to drive
business success through Data &
AI.
Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
Candidate /
Market Research Analyst
Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
Candidate /
Digital Media and Analytics
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
Client /
Director of Customer Data Science – Apparel
Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
Client /
Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
Candidate /
Chief Data Officer
Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
Client /
Director of People Operations
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
Candidate /
Data Analyst
Candidate – Senior Data Engineer
I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
