Finance Data Product Manager

Description

Company Description:

Aspida is a tech-driven, nimble insurance carrier. Backed by Ares Management Corporation, a leading global alternative asset manager, we offer simple and secure retirement solutions and annuity products with speed and precision. More than that, we’re in the business of protecting dreams; those of our partners, our producers, and especially our clients. Our suite of products, available through our elegant and intuitive digital platform, focuses on secure, stable retirement solutions with attractive features and downside protection. A subsidiary of Ares Management Corporation (NYSE: ARES) acts as the dedicated investment manager, capital solutions and corporate development partner to Aspida.  For more information, please visit www.aspida.com or follow them on LinkedIn.  

Who We Are:

Sometimes, a group of people come together and create something amazing. They don’t let egos get in the way. They don’t settle for the status quo, and they don’t complain when things get tough. Instead, they see a common vision for the future and each person makes an unspoken commitment to building that future together. That’s the culture, the moxie, and the story of Aspida.

Our business focuses on annuities and life insurance. At first, it might not sound flashy, but that’s why we’re doing things differently than everyone else in our industry. We’re dedicated to developing data-driven tech solutions, providing amazing customer experiences, and applying an entrepreneurial spirit to everything we do. Our work ethic is built on three main tenets: Get $#!+ Done, Do It with Moxie, and Have Fun. If this sounds like the place for you, read on, and then apply at aspida.com/careers.

 What We Are Looking For: 

We're looking for a Finance Data Product Manager to own the data products that power our Finance and Accounting organization. This is a senior, cross-functional role sitting at the intersection of Finance, Accounting, and Data Engineering — you'll define the roadmap for financial data infrastructure, set standards for how financial data is modeled and governed, and lead the translation of complex accounting and business logic into scalable data products. You'll operate as a player-coach: setting strategy and prioritization while staying hands-on enough to dig into SQL, Python, and Snowflake when it matters. This role reports to the Director of Finance Systems and is required to be onsite 3 days a week at our Durham, NC headquarters.   

What You Will Do:  

Product Strategy & Roadmap

• 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)

Technical Leadership

• 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

Cross-Functional Leadership

• 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