Qualification

Hands-on technical fluencyStrong commercial instincts — proposalsNice to have regulated industriesBS/MS in CSPMPWhat Success Looks LikePrograms delivered with quality

Required

10+ years technology delivery experience, including 5+ years leading data platform/engineering/analytics transformation programs in consulting (required).
Proven success managing $1M–$5M+ multi-workstream programs with distributed US/offshore teams and senior client stakeholders.
Hands-on technical fluency: Snowflake (warehouses, RBAC, performance/cost tuning), Databricks and/or Microsoft Fabric, Azure data services (ADF, Synapse, ADLS, networking/security), and ingestion/transformation tooling (Fivetran; dbt a plus).
Ability to credibly guide architecture and review technical decisions, not just manage status.
Practical expertise in lakehouse/medallion architectures, governance, data modeling, and data quality/observability.
Strong agile delivery skills (Scrum/Kanban, Jira/Azure DevOps, CI/CD for data, Git workflows).
Strong executive communication with VP/C-suite/sponsor-level stakeholders.
Strong commercial instincts — proposals, staffing strategy, engagement economics.
Nice to have regulated industries, FinOps for data platforms, GDPR/CCPA, Power BI/Fabric, PE-backed environments, Office of the CFO transformations, or broader AI-led value creation work.

Preferred

BS/MS in CS, IS, Engineering, adjacent technical degree (Math, Physics, etc.), or equivalent experience. MBA a plus.
PMP, PMI-ACP, or SAFe; SnowPro; Azure DP-203/AZ-305 a plus.
What Success Looks Like
Trusted advisor connecting business goals to platform execution, leading teams through ambiguity.
Programs delivered with quality, predictable execution, and measurable outcomes.
Engagements expand through delivery with credibility and strong executive relationships.
The Data Platform team grows stronger through mentorship, hiring, and repeatable standards.
The annual salary for this role ranges from: $234,000 to $280,000 USD + bonus + equity + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Director, Data Platform at Accordion · LumiJobs

Director, Data Platform

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Accordion

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