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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Operations Specialist - **Company:** Houlihan Lokey - **Location:** London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Data Validation, DataOps, Data Streaming, Data Strategy, Data Management - **Published:** July 31, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=0c3645d413866e19 ## About the Role * Bachelors Degree, 2.1 classification or higher * 3-6 years of relevant industry experience, with a strong preference for data operations, research, financial services operations, or similar roles., * Advanced financial and/ or technical skillset, with the ability to navigate complex datasets and systems. * Proven ability to operate independently, lead initiatives end-to-end. * Strong analytical thinking, problem-solving skills, and attention to detail. * Excellent verbal and written communication skills, with the ability to explain complex concepts to non-technical stakeholders. * Experience in operations, investment banking, accounting, consulting, data-focused roles, and/or process improvement projects strongly preferred. ## Description The Data Operations Specialist is responsible for owning and advancing enterprise-wide data standards, processes, and controls. This role serves as a senior individual contributor within Data Operations, providing subject-matter expertise, operational leadership, and strategic execution across the data lifecycle. You will design and drive initiatives that improve data quality, resilience, governance, and scalability, while acting as a trusted partner to business leaders and technology teams., * Ongoing Data Management: Own and optimize Data Operations pipelines, with deep expertise in cleansing, and maintaining corporate structures and company- data. Establish best practices and standards for ongoing data management. * Incident Management & Resolution: Serve as the escalation point for complex or high-impact data issues. Lead root cause analysis, post-mortems, and the design of long-term preventative solutions to reduce operational risk. * Knowledge Leadership: Act as a subject-matter expert in company-level data and data flows across the firm. Proactively leverage this knowledge to answer complex internal questions, mentor junior team members, and influence data-related decision-making. * Operational Excellence: Architect and drive advanced automation initiatives across Data Operations, including workflow optimization, system enhancements, data validation frameworks, monitoring solutions, and enterprise reporting. * Collaboration & Stakeholder Partnership: Partner closely with Banker Success, Product, Engineering, and other stakeholders to translate business needs into scalable operational and technical solutions. Influence prioritization and ensure alignment across teams. * Process Improvement & Strategy: Identify gaps and opportunities across the data ecosystem. Lead cross-functional initiatives to improve data reliability, efficiency, and scalability, contributing to the long-term data strategy of the firm. * Leadership & Mentorship: Provide guidance, feedback, and mentorship to Analysts and Interns. Contribute to user onboarding, documentation, and the continuous improvement of team capabilities. * Management of legacy processes as needed. ## Related Videos - [Python-Based Data Streaming Pipelines Within Minutes](https://www.wearedevelopers.com/videos/1233-python-based-data-streaming-pipelines-within-minutes) - [Hacking Your Vacation: Using Data for Fun](https://www.wearedevelopers.com/videos/585-hacking-your-vacation-using-data-for-fun) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Best Companies to work for in London: Top 25 Companies in 2023](https://www.wearedevelopers.com/magazine/187-best-companies-to-work-for-in-london-top-25-companies-in-2023) - [Average Salary in London](https://www.wearedevelopers.com/magazine/280-average-salary-in-london) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)