- Company: Get A Job.ai
- Location: London
- Salary: Pay not listed
Website Get A Job.ai
Represented by Get A Job.ai
About This Opportunity
We are representing a confidential maritime intelligence organization seeking a Data Operations Manager to join their London team. This high-impact leadership role sits at the intersection of people management and technical excellence, overseeing critical maritime datasets that power strategic decision-making for clients worldwide.
As Data Operations Manager, you will lead a talented team of data professionals while driving operational excellence, technical capabilities, and scalable processes. This is an opportunity to make a visible impact in a fast-growing global company that simplifies complex market data for the commodities, energy, and maritime sectors.
Responsibilities
- Lead, coach, and develop a team of data professionals, fostering ownership, collaboration, and continuous improvement
- Build and strengthen the team's technical capabilities through coaching, enablement, and knowledge sharing
- Establish and continuously improve data management and operational processes to ensure scalability and efficiency
- Provide technical leadership across data workflows, including SQL, Python, ETL processes, APIs, data ingestion, and automation
- Identify opportunities to automate manual processes and improve the reliability of data operations
- Design, develop, and maintain business logic, data validation frameworks, dashboards, and data workflows
- Support the adoption and integration of new tools, technologies, and data sources
- Ensure strong data quality through effective monitoring, validation, documentation, and continuous improvement
- Work closely with senior domain experts to enable effective delivery across key maritime datasets
- Collaborate with Product, Engineering, Data, and Commercial teams to resolve challenges and improve data delivery
- Define and monitor KPIs and OKRs, using insights to support strategic decision-making
- Manage resources and priorities effectively, balancing operational delivery with capability improvements
What We're Looking For
Essential Requirements:
- Extensive experience in data management, data operations, or analytics, including 3+ years of direct people management experience
- Proven track record building, developing, and coaching technical or data-focused teams
- Advanced, hands-on proficiency in SQL and Python
- Proven experience designing, optimizing, and maintaining ETL processes and data workflows
- Experience working with APIs and data ingestion
- Strong understanding of data quality, validation, and automated validation methodologies
- Experience identifying and implementing automation and process improvements
- Practical familiarity with data visualization tools such as Tableau, Looker, or similar platforms
- Strong ability to translate operational challenges into practical technical solutions
- Experience working cross-functionally with technical and non-technical stakeholders
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Maritime Studies, or related field
Desirable Experience:
- Experience in the maritime industry or working with maritime data
- Project management experience
- Experience with Dataiku or similar data science and workflow automation platforms
- Experience working in a data-intensive product or technology organization
Key Competencies:
- Strong people leadership skills with a focus on coaching, development, and team performance
- Technical curiosity and confidence working hands-on with data and technology
- Ownership mindset with accountability for data quality and operational excellence
- Structured and process-oriented approach with effective prioritization abilities
- Strong communication and collaboration skills across diverse teams
- Analytical thinking and continuous improvement mindset
- Ability to balance strategic thinking with hands-on problem solving
How We Work With You
Our talent team at Get A Job.ai partners exclusively with leading organizations to connect them with exceptional candidates. When you apply through our platform, here's what happens:
- You submit your application directly on getajob.ai
- A dedicated recruiter from our team conducts an initial screening to understand your background and goals
- We present qualified candidates to our client for consideration
- We coordinate the interview process and provide guidance throughout
Important: Please do not attempt to contact the client directly. All applications and communications should go through Get A Job.ai to ensure your candidacy is properly represented.
Pay
Compensation details will be discussed during the screening process with our recruitment team.
Equal Opportunity: Get A Job.ai is committed to providing a fair, inclusive, and diverse recruitment process. We welcome candidates of different backgrounds, experiences, abilities, and perspectives. Research shows that women and people of color are less likely to apply if they feel they don't match 100% of requirements—we encourage you to apply even if you don't meet every single qualification listed.
Apply with Get A Job.ai
A recruiter will review your profile and submit you to the client. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you. Do not contact the client directly.
Apply through Get A Job.ai. A recruiter will review your profile and submit you.
Local insights for this role are preparing — this section updates automatically in a few seconds (or refresh).
Listing facts
- Role Data Operations Manager
- Employer Get A Job.ai
- Location London
- Type Full Time
- Pay (from listing) Pay not listed
- Posted September 16, 2026
- Apply by October 16, 2026
- Overview Full job description on this page (657 words)
Facts above come from this job record on Get A Job.AI — not copied from third-party review sites.
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We only show facts we can ground in public sources (Wikidata, O*NET, news/discussion links, or this listing). We do not invent Glassdoor-style ratings, salaries, or testimonials when data is thin. Use the listing facts, occupation context, and related openings below while we continue researching.
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