SAS Technical Lead

Provide technical leadership and strategic direction for enterprise SAS analytics platforms and supporting infrastructure.

• Lead the modernization and optimization of analytics capabilities, aligning platform strategy with business and regulatory needs.
• Manage and develop a team of platform engineers and specialists, building expertise across SAS, data engineering, and platform operations.
• Own and manage key vendor relationships to influence platform roadmap and ensure value from investments.
• Engage hands-on in platform design, troubleshooting, automation, integration, performance, scheduling, and resilience initiatives.
• Collaborate with stakeholders across Risk, Finance, Financial Crime, and Business Intelligence to deliver robust technical solutions.
• Drive platform reliability, including operational excellence, incident management, root cause analysis, and continuous service improvement.
• Lead major initiatives such as platform migration, data center exits, decommissioning legacy systems, and adopting new analytics technologies.
• Define, implement, and enforce technical standards, governance, and best practices across the analytics platform estate.
• Partner with architects and engineering teams to advance towards a hybrid or cloud-aligned analytics architecture.

Degree in Computer Science or related field.

• 10+ years’ experience in managing and operating enterprise analytics platforms (SAS, grid computing, or similar).
• Deep technical expertise in Linux (RHEL or similar), distributed/grid computing, batch processing/scheduling, and data integration tools.
• Proven experience leading technical teams in complex enterprise environments.
• Track record of owning and evolving critical production platforms in risk, regulatory, or financial domains.
• Experience managing supplier/vendor relationships.
• Strong communication and stakeholder management skills with technical and non-technical audiences.
• Ability to balance hands-on technical work with strategic leadership.

Desirable (Bonus) Skills:

• Experience with SAS Viya migration or alternative analytics platforms (Databricks, Python, etc.).
• Exposure to cloud platforms (AWS, Azure) and hybrid architectures.
• Knowledge of financial services regulatory workloads (e.g., IFRS9, stress testing, financial crime, risk modeling).
• Experience with automation, observability, and performance tuning in large-scale data environments.
• Proficiency with the SAS language.