Director, Finance Data Platform – Data Modeling & Platform Features
Listed on 2026-03-04
-
IT/Tech
Data Science Manager -
Finance & Banking
Director, Finance Data Platform – Data Modeling & Platform Features
The Director, Finance Data Platform – Data Modeling & Platform Features is responsible for leading thedesign, evolution, and adoption of enterprise finance data models and shared platform capabilities. This role focuses on building analytically rigorous, scalable data foundations that enable consistent reporting, advanced analytics, automation, and emerging AI use cases across Finance.
This leader operates at the intersection of Finance, Data Engineering, Analytics, and Enterprise Architecture, ensuring finance data iswell‑modeled, governed, and technically enabled across modern cloud data platforms.
Key Responsibilities Finance Data Modeling Leadership- Lead the design and governance of canonical finance data models, including GL, Expense, Cost Centers, Legal Entities, Accounting Periods, and enterprise hierarchies.
- Define and enforce dimensional and semantic modeling standards to ensure consistent metrics and analytical outputs.
- Translate accounting and finance requirements intoscalable analytical data models implemented in cloud data platforms.
- Ensure strong alignment between source systems, data pipelines, modeled layers, and consumption tools.
- Own the product direction forshared finance data platform features, including:
- Semantic layers and governed metrics
- Data quality and reconciliation frameworks
- Metadata, lineage, and documentation tooling
- Standardized data access patterns for analytics and reporting
- Partner with Data Engineering to drive implementation using modern data platforms such as Databricks and Snowflake.
- Leverage
SQL and analytical modeling techniques to validate models, troubleshoot issues, and guide technical design decisions. - Enable advanced use cases including automation, predictive analytics, and AI‑assisted insights.
- Act as a key connector across
Controllership, FP&A, Accounting, Finance Operations, Data Engineering, BI, and Enterprise Architecture. - Influence priorities and technical direction in amatrixed environment, balancing finance needs with platform scalability.
- Facilitate alignment ondata definitions, metrics, and analytical standards across teams.
- Communicate complex technical and data concepts inclear, business‑focused language.
- Partner with Controllership, Sourcing & Expense Data needs & analytics.
- Incorporate controllership requirements into platform standards without limiting analytical flexibility.
- Establish standards fordata quality, validation, ownership, and documentation.
- Ensure finance data assets are discoverable, trusted, and reusable.
- Drive adoption of BI and analytics tools by providing well‑modeled, performant datasets.
This is a hybrid position.
Expectationofdays intheoffice will be confirmed by your Hiring Manager.
- 10+ years of relevant work experience with a Bachelor’s Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.
- 12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD
- 10+ years of experience in finance data, analytics, or data platform roles, with 5+ years in leadership.
- Strong hands‑on expertise in finance data modeling and analytics, including dimensional modeling.
- Advanced proficiency in SQL for data analysis, validation, and modeling.
- Experience working with cloud data platforms such as Databricks and/or Snowflake.
- Experience enabling analytics through BI tools (e.g., Tableau, Power BI, Looker, or similar).
- Proven ability to work across Finance, Data Engineering, and Analytics organizations.
- Strong analytical mindset and problem‑solving skills.
- Experience with AI/ML or GenAI‑enabled analytics tools (e.g., forecasting, anomaly detection, intelligent insights).
- Familiarity with data transformation frameworks (e.g., dbt or equivalent).
- Experience in…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).