Enterprise Data Operations Lead

The Data Operations & Migration Technical Lead will oversee our data feed operations and client data migration capabilities. This is a hands‑on technical leadership role with a strong focus on day‑to‑day delivery, investigation, validation, escalation, and problem‑solving. The role will provide technical direction and unblock complex issues while remaining actively involved in the work.

You will own the operational health of broker and client data feeds, lead complex data migration initiatives during client onboarding, and provide mentorship and technical guidance to engineers and analysts across both functions. Deep domain knowledge in financial services data, particularly regulated trading, transaction, or reference data, is critical.

The balance will vary depending on client activity, incidents, and migration workload, but the expected shape of the role is around 50 to 70% hands‑on technical delivery, investigation, review, migration validation, incident support, and technical escalation, with the remaining 30 to 50% focused on leadership, prioritisation, mentoring, stakeholder management, documentation, planning, and process improvement.

This role sits within the Enterprise Data function and works closely with R&D, Client Support Services, Professional Services, and Relationship Management to ensure client data is secure, accurate, compliant, and delivered on time.

What you’ll Be Responsible For

• Leadership Responsibilities
  • Provide technical and operational leadership across Data Operations and Data Migration functions.
  • Act as a player coach, balancing hands‑on delivery with coaching, mentoring, and upskilling team members.
  • Set standards for operational excellence, data quality, documentation, and incident management.
  • Own prioritisation and workload planning across feeds and migrations, ensuring delivery commitments are met.
  • Serve as the escalation point for complex data issues, client escalations, and high‑risk migrations.
  • Partner with Product, Engineering, and Professional Services to influence roadmap decisions and onboarding strategies.
  • Act as a trusted technical partner for internal teams and external stakeholders during onboarding and operational change.
  • Translate complex technical and data concepts into clear, actionable guidance for non‑technical audiences.
  • Contribute to client‑facing discussions where deep data or feed expertise is required.
• Data Feed Operations Ownership
  • Oversee the delivery, maintenance, and evolution of StarCompliance’s broker and client data feed infrastructure.
  • Ensure secure setup and ongoing management of SFTP connectivity, access permissions, and encryption standards.
  • Own operational monitoring of daily and intraday feeds, proactively identifying trends, risks, and failure patterns.
  • Drive continuous improvement across feed automation, resilience, monitoring, and alerting.
  • Work closely with the wider Enterprise Data engineering team on feed‑related enhancements and defect resolution.
  • Ensure platforms such as MoveIt and associated automation tooling are stable, well configured, and fit for scale.
• Data Migration Leadership
  • Oversee the planning and execution of complex data migrations from third‑party vendors into StarCompliance products.
  • Define and review migration strategies, data mappings, validation approaches, and cutover plans.
  • Ensure data integrity, accuracy, and regulatory compliance throughout the migration lifecycle.
  • Provide hands‑on support for data analysis, transformation, and validation where required.
  • Oversee post‑migration support, ensuring issues are resolved quickly and root causes addressed.

Skills and Experience

We’re looking for a technically strong leader who combines operational excellence with a passion for solving complex data challenges. You will bring:

• Strong experience in financial services, fintech, regtech, or similarly regulated data environments.
• Deep domain knowledge of financial broker feeds, file‑based integrations, and operational data pipelines.
• Hands‑on experience with SQL Server, including T‑SQL for investigation and data validation.
• Strong understanding of ETL processes and tooling.
• Experience with secure file transfer technologies and encryption standards, including SFTP, PGP/GPG, and SSH.
• Proficiency in scripting and automation using tools such as PowerShell, Python, and SQL.
• Proven experience leading data operations or data migration initiatives in production environments.
• Ability to balance strategic thinking with hands‑on delivery.
• Excellent problem‑solving skills and calm decision‑making under pressure.

Minimum Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent professional experience.
• Proven leader with 5+ years in data operations, data engineering, data migration, or related technical roles, ideally within financial services or compliance technology.

How We Think About AI

At Starcompliance, AI is not a side experiment or a specialist niche. We treat it as a practical capability that strengthens how we operate, scale, and deliver secure, high quality data services. In Enterprise Data, we expect senior leaders to:

• Use AI assisted tools to improve operational efficiency.
• Stay informed about how AI can enhance data operations, migration strategy, and automation in regulated environments.
• Apply AI thoughtfully, with strong awareness of data security, client confidentiality, regulatory risk, and cost.
• Help the team adopt AI responsibly in day‑to‑day operations, without compromising control, traceability, or compliance standards.

StarCompliance Background Checks

All positions require pre‑employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks.

Equal Opportunity Employer Statement

We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time.