Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.
About the Role

Lead end-to-end delivery of modern data platforms - owning scope, schedule, budget, and outcomes. Run geographically diverse agile delivery teams, guide medallion/Lakehouse architectures, and translate client business goals into scalable solutions on Snowflake, Azure, and Databricks.
What You'll Do:

• Own end-to-end delivery of large, multi-workstream data platform programs - scope, timeline, budget, quality, risk, and business outcomes.
• Serve as senior client relationship manager - guiding executives through strategy, tradeoffs, change requests, and steering committees.
• Shape target-state architecture across Snowflake, Databricks, Microsoft Fabric/Azure, and adjacent tooling.
• Provide architectural stewardship: lakehouse/medallion patterns, data contracts, CI/CD for data, observability, governance, and lineage.
• Lead agile cross-functional teams (data engineering, analytics, platform ops); mature Scrum/Kanban practices and coordinate onshore/offshore delivery.
• Own commercial performance: SOW alignment, staffing, budget forecasting, margin, risk, and acceptance criteria.
• Contribute to practice growth - playbooks, accelerators, pre-sales support, proposals, and client opportunity development.
• Support pursuits: scoping, estimating, staffing, and executive-level storytelling; serve as technical authority in client workshops and due diligence.
• Drive business development (pipeline, proposals, account expansion) and support recruiting/mentorship as the practice scales.
• Travel to client sites as needed.

You Have:

• 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 Requirements:

• 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 + LTI + 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.

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