SAP Data Lead – Finance

Silicontek Inc; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Silicontek Inc is seeking a Data Lead for Finance/SAP/Life Sciences to translate the Finance Data Strategy into practical data models and design specs for a Databricks-based data foundation. This hands-on leadership role guides Finance, Enterprise Architecture, and Analytics teams, defining mappings, rules, hierarchies, and quality controls.

You will champion reusable standards and partner with architects to ensure governance compliance.

Qualifications

• 10+ years in data management and enterprise data design.
• Strong Finance domain knowledge including P&L, balance sheet, and close.
• Pharma/Life Sciences Finance experience is required.
• SAP FI/CO, GL, UJ (ACDOCA) familiarity is a plus.

Responsibilities

• Translate financial requirements into conceptual, logical, and physical data models.
• Define source-to-target mappings, transformation logic, and business rules.
• Design data products for P&L, balance sheet, and other finance domains.
• Integrate SAP FI/CO, TM1/IBM planning analytics, Concur into Databricks.
• Establish data quality, reconciliation, controls, auditability, and traceability.
• Create build-ready design specs and acceptance criteria.
• Mentor client and partner teams on finance data design.

Skills

Finance domain knowledge

Data modeling

SAP FI/CO experience

Databricks/lakehouse

Source-to-target mappings

Data quality controls

Leadership / mentoring

US work authorization

Tools

Databricks

Unity Catalog

SAP Finance tooling

Job description

Role-Data Lead – Finance/SAP/Life science

Location: US-based, Remote | Occasional travel for key workshops

About the Role

Our client, a global biopharmaceutical company, is building a modern Finance Data Foundation on Databricks. We are seeking a Finance Data Design Lead to translate the Finance Data Strategy and Architecture into practical, reusable data models, mappings, business rules, and technical design specifications.

This is a hands-on data design and delivery leadership role, working closely with Finance, Enterprise Architecture, Data & Analytics, GTS, and development teams. You will define the designs and guide development teams through implementation rather than building the data pipelines yourself.

Key Responsibilities

• Translate Finance business requirements and data strategy into conceptual, logical, and physical data models.
• Define source-to-target mappings, transformation logic, business rules, calculations, hierarchies, and financial definitions.
• Design Finance data products covering P&L, balance sheet, spend/travel, and other core Finance domains.
• Design and integrate data from SAP FI/CO, TM1/IBM Planning Analytics, Concur, Agiloft, and other Finance sources into Databricks.
• Establish data quality, reconciliation, controls, auditability, and traceability requirements.
• Create clear, build-ready design specifications and acceptance criteria for development teams.
• Establish reusable Finance data modeling standards, naming conventions, documentation, and design patterns.
• Partner with Enterprise Architects to ensure designs align with enterprise architecture and governance standards.
• Review development output, resolve design questions, and support testing and business validation.
• Mentor client and partner teams on Finance data design practices.

Required Qualifications

• 10+ years of experience in data management, data warehousing, analytics, and enterprise data design.
• Strong Finance domain knowledge, including P&L, balance sheet, cash flow, chart of accounts, cost/profit centers, hierarchies, multi-currency, and financial close.
• Pharmaceutical / Life Sciences Finance experience is required, including familiarity with areas such as R&D/clinical costs, product/market P&L, intercompany, transfer pricing, and Finance controls.
• Strong SAP Finance experience, including SAP FI/CO, GL, Universal Journal (ACDOCA), cost/profit centers, internal orders, WBS, company codes, and hierarchies.
• Proven experience designing and integrating SAP Finance data into a data warehouse/lakehouse.
• Strong conceptual, logical, and physical data modeling skills.
• Demonstrated experience creating source-to-target mappings, business rules, and development-ready specifications.
• Working knowledge of Databricks/lakehouse architecture, including Delta and Unity Catalog.
• Experience with financial data quality, reconciliation, and controls.
• Excellent communication and facilitation skills with both Finance and technical stakeholders.
• US-based with valid US work authorization and availability during US business hours.

Preferred Qualifications

• SAP BW/BW4HANA, SAP Datasphere, or SAP Analytics Cloud.
• TM1 / IBM Planning Analytics, Oracle EPM, Anaplan, or similar planning platforms.
• Concur, Agiloft, or similar enterprise SaaS platforms.
• Power BI semantic modeling and Finance reporting.
• Experience with data modeling and metadata/catalog tools.
• Consulting or client-facing delivery experience.

What Success Looks Like

You will be successful when priority Finance data products are designed and implemented with minimal rework, reusable Finance data models and standards are established, and client teams have a foundation they can continue to extend.

Ideal Profile: A Finance data professional with deep Pharma/Life Sciences and SAP experience who enjoys the details of translating Finance requirements into precise data models, mappings, rules, and specifications that development teams can implement confidently.