Finance Data Product Manager

Own the roadmap for Finance's data products (financial data marts, reporting layers, self-service datasets) — prioritizing based on business impact, close/reporting needs, and stakeholder input

Partner with Finance, Accounting, FP&A, and executive stakeholders to define requirements and translate financial/accounting logic (revenue recognition, allocations, close processes, forecasting) into scalable data models

Define and track success metrics for financial data products (accuracy, latency, adoption, close-cycle time reduction)

Act as the primary liaison between Finance/Accounting and Data Engineering — representing Finance's needs in engineering prioritization, and representing engineering constraints back to Finance stakeholders

Set standards and best practices for financial data modeling in Snowflake, including governance, access controls, and documentation

Review and guide architecture for pipelines and data marts; remain hands-on with SQL and Python to prototype, validate, and troubleshoot when needed

Drive data quality and lineage initiatives so financial data is audit-ready, reproducible, and trusted

Run intake, prioritization, and roadmap processes for financial data requests across Finance, Accounting, and Engineering

Mentor and provide technical/product guidance to Data Analysts and Analytics Engineers

Partner with Data Engineering leadership on shared infrastructure decisions, sprint planning, and resourcing

Support audits, SOX controls, and external reporting by ensuring data products meet compliance and transparency requirements

Communicate roadmap, risks, and wins to Finance and Accounting leadership on a regular cadence

What We Provide:

Salaried, DOE

Long-Term Incentive Plan

Full-Time

Full Benefits Package Available

What We Believe:

Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

At Aspida Financial Services, LLC, we are committed to creating a diverse and inclusive environment and are proud to be an equal opportunity employer. As such, Aspida does not and will not discriminate in employment and personnel practices on the basis of race, sex, age, handicap, religion, national origin or any other basis prohibited by applicable law. Hiring, transferring and promotion practices are performed without regard to the above listed items.

Requirements

What We Require:

6+ years of experience in data analytics, analytics engineering, or data product roles, with 2+ years in a lead, PM, or manager-level capacity

Deep experience supporting Finance/Accounting functions with data (GL structure, close processes, revenue recognition, budgeting/forecasting)

Strong SQL skills — complex joins, window functions, performance tuning — and working proficiency in Python for automation and data manipulation

Advanced hands-on experience with Snowflake (data modeling, warehouse/role management, performance and cost optimization)

Proven track record of owning a roadmap, prioritizing competing stakeholder requests, and shipping data products that drive measurable business outcomes

Experience managing cross-functional relationships with both business (Finance/Accounting) and technical (Data Engineering) stakeholders

Excellent communication skills — able to influence at the leadership level and translate between accounting, product, and engineering language

Preferred Qualifications:

Experience with dbt, data governance tooling, or data catalogs

Familiarity with BI platforms (Looker, Tableau, Power BI) and semantic layer design

Experience with ERP systems (NetSuite, Oracle, SAP, Workday) and their data flow into a warehouse

Prior people management experience

Background in FP&A, accounting operations, or a CPA/finance credential

Experience supporting SOX compliance or financial audits from a data perspective