Director, Enterprise Data & Analytics

At Eisner Amper, we look for individuals who welcome new ideas, encourage innovation, and are eager to make an impact. Whether you're starting out in your career or taking your next step as a seasoned professional, the Eisner Amper experience is one-of-a-kind. You can design a career you'll love from top to bottom - we give you the tools you need to succeed and the autonomy to reach your goals.

We are seeking a highly strategic, business-facing data leader with deep expertise in hybrid SAP-Microsoft environments. The ideal candidate will bring a proven track record in professional services analytics and a demonstrated ability to translate firm strategy into measurable business outcomes through data-driven insights. This individual will partner closely with stakeholders to align analytics initiatives with organizational priorities, driving performance, operational efficiency, and informed decision-making across the firm.

Data and analytics are foundational to Eisner Amper's growth, profitability, and client service strategy. This role directly shapes how the firm leverages enterprise data to improve financial performance, operational efficiency, and executive decision-making. The Director will modernize core analytics platforms, standardize firm-wide KPIs, and enable trusted, real-time insights for leadership-positioning data as a true strategic asset across the organization.

• You will get to be part of one of the largest and fastest growing accounting and advisory firms in the industry

• You will have the flexibility to manage your days in support of our commitment to work/life balance

• You will join a culture that has received multiple top "Places to Work" awards

• We believe that great work is accomplished when cultures, ideas and experiences come together to create new solutions

• We understand that embracing our differences is what unites us as a team and strengthens our foundation

• Showing up authentically is how we, both as professionals and a Firm, find inspiration to do our best work

• Define and execute the enterprise data and analytics strategy, including vision, roadmap, and operating model, in close partnership with executive leadership, Finance, and Operations.

• Lead the modernization of legacy data platforms to acloud native
  
  Lakehousearchitecture,establishingenterprise standards for data architecture, governance, security, and Dev Ops.

• Lead architecture and integration across Microsoft Fabric, Azure, and SAP data platforms, ensuringperformant, reliable, andcost optimizedenterprise data services.

• Own and standardize firmwide financial and professional services KPIs, delivering executive dashboards,self-serviceanalytics, and advanced reporting that enabledata driven decision making

• Lead enterprise data governance and compliance,establishingstandards for data quality, security, lineage, and access controls while ensuring adherence to SOX, GDPR, and audit requirements.

• Deliver a unified enterprise data platformend-to-end,consolidatingstructured and unstructured data into a trusted, scalable foundation that enables reliable analytics and firmwide decision making.

• Own execution anddeliveryaccountability for all data and analytics initiatives, ensuring programs are delivered on time, adopted by the business, and produce measurable, tangible business value.

• Build and lead a high performing delivery organization, setting clear success metrics, driving disciplined execution, and providing transparent executive reporting on progress, risks, and realized outcomes.

• Bachelor's or Master's in Computer Science, Information Systems, or related field.

• 18+ years of experience in enterprise data, analytics, or BI leadership roles.

• 3+ years of proven leadership in a financial and professional services analytics

• Demonstrated expertise in Microsoft Fabric, Power BI, Azure Data Factory/Synapse, and ADLS.

• Strong experience with SAP Datasphere, SAP Analytics Cloud, and SAP S/4
  
  HANA Cloud integrations.

• Strong background in Lakehouse architecture, dimensional modeling, and enterprise security.

• Execut…