Senior Manager, SQL Development

What You’ll Be Doing

• Lead and mentor a team of engineers responsible for building custom, client-specific solutions; recruit and grow the team as Professional Services scales. 
• Own end-to-end technical delivery for Professional Services initiatives—from intake and feasibility review through development, validation, deployment, and post-release supportability. 
• Run technical review and estimation: validate feasibility, surface assumptions, identify dependencies, and produce credible schedules; establish “delivery contract” discipline (scope boundaries, acceptance criteria, change control).
• Drive delivery accountability to commitments, timelines, and quality standards; proactively manage risk and communicate tradeoffs early. 
• Partner tightly with Support and Client Specialization to get work done: establish an engagement model (intake → triage → prioritization → delivery → release windows); define escalation paths, SLAs, and operational handoffs.
• Build and oversee data-driven solutions—custom reports, exports, dashboards, performance/attribution reporting, and client-facing analytics. 
• Guide upstream data work when required (not “just reporting”): ingestion/landing adjustments, normalization, and curated reporting-ready outputs (data marts); vendor/custodian integration changes and schema drift handling.
• Institutionalize testing and validation for client deliverables: automated regression testing for report outputs (golden datasets, contract/schema checks, tolerance-based comparisons); data quality tests for pipeline changes (nulls, duplicates, cardinality, anomaly thresholds); repeatable pre-release validation harnesses so client outputs don’t silently regress.
• Standardize AI usage across Professional Services: create a PS “AI operating model” (prompt libraries, code review checklists, test generation patterns, estimation support); enforce human-in-the-loop controls for correctness, performance, and security; train engineers to use AI to accelerate spec-to-solution safely and consistently.
• Participate in client discussions as needed to clarify technical requirements and delivery constraints, maintaining a delivery-first mindset rather than account ownership. 
• Background in financial services or regulated environments. 
• Experience partnering closely with Business Analysts and implementation teams. 
• Experience scaling or operating engineering delivery within a Professional Services model. 

What You’ll Bring

• 8+ years of software/data engineering experience, including leadership of delivery teams. 
• Prior experience in consulting or professional services environments with direct accountability for delivery outcomes. 
• Demonstrated ownership of estimation accuracy, scheduling, and delivery commitments. 
• Deep experience building data-centric solutions, reporting systems, exports, and client-facing analytics. 
• Strong SQL Server background and ability to lead high-stakes database work in production environments. 
• Report engineering at scale — deterministic export/report procedures with stable schemas and predictable performance. 
• Metadata-driven reporting patterns — dynamic pivots, configuration-driven layouts, and controlled client-specific variants. 
• Advanced analytical SQL — window-function–driven periodization and attribution-style computations. 
• Semi-structured + vendor-driven inputs — JSON handling and APPLY patterns to translate external schemas into normalized structures. 
• Reconciliation and correctness validation — drift detection and load validation patterns that prevent “silent wrong” outputs. 
• Performance engineering — plan-aware query design, indexing-minded implementations, and pragmatic approaches for parameter sensitivity. 
• Production-grade safety — structured failure signaling and guardrails for operationally safe reruns. 
• Practical experience applying AI tools in engineering workflows—and the maturity to standardize their use across a team: reusable prompts and scaffolding patterns, AI-assisted test case generation and validation routines, consistent PR review and “what changed / who is impacted” discipline. 
• Must have current and ongoing authorization to work in the country of employment without the need for visa sponsorship, now or in the future.