Director, Data Operations & Engineering (Finance)

Datasite • New York, NY

1d

About The Position

As the Director of Data Operations & Engineering, you will lead the evolution of our financial data ecosystem. Beyond managing infrastructure, you will be the owner of our Data Assets. You will lead a multidisciplinary team of Engineers, Data Analyst and Power BI Experts to transform raw data into high-value Data Products—reusable, reliable, and interactive tools that drive business strategy. You will bridge the gap between back-end engineering (Snowflake/dbt) and front-end product delivery (Power BI), ensuring that our data is not just "available," but "actionable.

Requirements

• Technical Mastery
• Power BI Expert: Deep mastery of DAX, Power BI Service architecture, and advanced visualization techniques.
• The Modern Stack: High proficiency in Snowflake and dbt. You know how to structure a data warehouse.
• SQL Power User: Ability to perform deep-dive investigations and complex data discovery.
• Business & Leadership Skills
• Business Acumen: Deep understanding of how business metrics (e.g., LTV, CAC, Margin) translate into data requirements.
• Communication: Ability to present technical roadmaps to the C-suite and simplify complex data concepts for stakeholders.
• Collaborative Spirit: A cross-functional partner who can lead through influence and build relationships across departments.
• 10+ years of experience in Data/Analytics, with at least 3+ years in a senior leadership role.
• Proven experience launching internal data products or tools that achieved high user adoption.
• Expert knowledge of the Snowflake + dbt + Power BI ecosystem.
• Exceptional communication skills—ability to pitch a "data product" vision to the C-suite.
• Bachelor’s degree or equivalent in a quantitative discipline such as engineering, mathematics, statistics, business, economics, etc.

Nice To Haves

• MBA or Master’s in quantitative disciplines such as analytics, MIS, etc.

Responsibilities

• Data Engineering & Operations (The Engine)
• Architectural Strategy: Lead the design of back-end data models and Snowflake schemas to support long-term scalability and high-concurrency usage.
• Robust ELT Pipelines & Data Quality: Oversee the development and maintenance of automated pipelines using dbt, ensuring strict version control, documentation, and data lineage. Implement testing and monitoring to guarantee the accuracy of upstream data.
• Data Product & Visualization (The Interface)
• Data Product & UX Innovation: Shift from static reporting to Data Product development. Use Power BI to build interactive tools. Champion high standards for data visualization. Ensure all Power BI assets are intuitive, and follow a consistent design language.
• KPI Governance: Partner with cross-functional leaders to define and standardize core business metrics, ensuring consistency across every dashboard and tool.
• Self-Service Enablement: Empower non-technical stakeholders by building "Certified Semantic Models" that allow users to safely build their own reports.
• Leadership & Collaboration
• Team Mentorship: Lead and grow a team of Data Engineers, Architects, and BI Experts, providing hands-on technical guidance in SQL, dbt, and DAX.
• Strategic Liaison: Act as the primary "translator" between technical engineering constraints and business requirements from Finance, Ops, and Marketing.
• Analytical Mindset: Drive a culture of "Discovery" performing deep investigations into data anomalies to provide proactive business recommendations.

Benefits

• Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Number of Employees: 101-250 employees