Data Lead – Central Data Team

About This Opportunity

We are representing a confidential market research and analytics organization seeking a Data Lead to join their Central Data team. This is a rare opportunity to own a foundational data domain end-to-end—building the standardized methodologies, systems, and quality frameworks that power analytical products across the organization.

This role is not about solving one-off analytical problems. You'll design reusable systems that enable dozens of downstream teams to move faster with greater confidence. You'll work alongside a Technical Product Manager and a Data Engineering Manager to define how your domain evolves, partnering closely with data evaluation teams, engineering, and external data providers.

Our client is hiring Data Leads for two critical domains:

• Consumer Receipts: Own the systems that process, classify, and validate transaction-level consumer receipt data across millions of purchases
• B2B Spend: Own the systems that transform complex mid-market and enterprise purchase and invoice data from multiple providers into standardized, production-ready datasets

Location: Remote within the USA
Visa sponsorship: Not available for this position

Responsibilities

You will own the lifecycle of your data domain—from defining how raw partner data should be processed, validated, tagged, and modeled to ensuring downstream teams can confidently build products on top of it. Specific responsibilities include:

• Develop deep expertise in your domain and build mental models to identify data quality issues before they impact customers
• Design validation frameworks, monitoring, and QA systems that proactively detect issues; reason deeply about representativeness, bias, and systematic risks
• Identify common business concepts and analytical patterns, then build centralized methodologies that reduce duplication and improve consistency across the organization
• Partner with your Technical Product Manager to prioritize investments based on cross-business impact, and with your Data Engineering Manager to shape processing architecture and platform capabilities
• Work with the Data Evaluation team to onboard new datasets and collaborate directly with technical and business stakeholders at data providers when needed
• Use AI, automation, and emerging tooling to fundamentally improve how data is processed, validated, documented, and maintained
• Mentor junior analysts as the team grows and establish the standards, processes, and culture that define how your domain operates

Example projects over your first year might include:

• Designing a generalized methodology for classifying millions of receipt line items across multiple data providers
• Building automated QA systems that detect systematic shifts in merchant tagging before they impact downstream products
• Developing reusable frameworks that reduce the time required to onboard new datasets from months to weeks
• Partnering with Engineering to redesign processing architecture that improves scalability while reducing operational overhead
• Creating standardized business logic that replaces multiple inconsistent implementations used across different business units

What We're Looking For

You are likely to succeed in this role if you have:

• 6-8+ years of experience in data analytics, with a background in financial services, management consulting, data science, high-growth technology, or another environment where you worked with complex data to drive high-stakes decisions
• Expert fluency in SQL and experience using Python or PySpark, including building reliable, reusable analysis workflows
• A proven track record of quickly learning complex data methodologies and building strong mental models of how and why data works
• Experience leading complex, ambiguous projects with multiple stakeholders—scoping the approach, driving alignment, and delivering outcomes—with a strong bias toward action and ownership
• The ability to calibrate rigor to the stakes: you know how much precision a given decision or problem merits, and you don't over- or under-invest
• The ability to reason about bias and representativeness, not just averages—you ask whether dropped rows, inconsistent formatting, or gaps in coverage are systematically skewed before drawing conclusions
• Experience working with messy, inconsistent datasets and evolving schemas, and the detail-orientation and discipline to make that work reliable
• Strong communication skills: you can clearly explain complex concepts—including methodology, risks, and tradeoffs—and influence cross-functional partners to move decisions forward
• Excitement about building and owning a domain end-to-end today, and mentoring and leading junior analysts as the team grows around you
• Active use of AI tools and excitement about using AI to drive leverage—not just productivity, but fundamentally better and faster ways of working

How We Work With You

Candidates apply directly through Get A Job.ai. Our recruiting team will screen qualified applicants and coordinate interviews with our client. We handle the entire process on your behalf, including offer negotiation. Please do not contact the client directly—all communication should go through our talent team to ensure a smooth and professional experience.

Pay

The annual base compensation for this position is anticipated to be $165,000–$205,000 via Get A Job.ai. The final offer may be determined by a number of factors, including the applicant's experience, knowledge, skills, and abilities. The total compensation package includes a mix of base, bonus, equity, and benefits.

Please note that if remote work is performed outside of New York, income may be subject to New York State tax withholding.

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