Director, Data & Analytics

Referral Details:

We greatly appreciate your referral, and we look forward to reviewing the qualifications of the candidate you've recommended. Here's a brief overview of the process: 

  

After you've completed this referral form, your recommended candidate will be directed to apply for the specific role through our website. This step is crucial for Wipfli to remain compliant with federal laws and to ensure a fair and transparent selection process. Once their application is received, our Talent Acquisition team will evaluate their qualifications, including how well they align with the requirements of the role and the broader needs of our organization. 

  

Your referred candidate will remain in our candidate database for future opportunities, offering them additional chances to become part of our team. As the referrer, your role in the recruitment process is to bring potential talent to our attention. We ask that you refrain from discussing updates on the candidate's status, out of respect for their personal consideration. Our Talent Acquisition team will provide you with a final update once the candidate has been informed of their application status. Throughout this process, we may reach out to you with any questions or additional information to ensure a seamless and effective referral experience. 

  

Thank you for your invaluable contribution to our recruitment efforts, and we sincerely appreciate your understanding and support throughout this process.  If you would like to read more about referral bonus eligibility, please visit InSite: Referral Bonus Program Eligibility 

Responsibilities: Reporting to the Managing Partner, the Director of Data & Analytics is responsible for leading and managing the firm’s enterprise-level data and analytics strategy. This role focuses on unlocking the value of data as a critical asset by ensuring the firm has the necessary processes, technologies, and governance in place. The Director ensures that data is effectively collected, stored, curated, analyzed, and leveraged to generate actionable insights that inform decision-making, drive innovation, and create competitive advantages across the enterprise.     Responsibilities: - Lead efforts to realize the full value of the firm’s enterprise information assets, ensuring access to critical data and analytics for decision-making and performance improvement. - Collaborate with firm leadership to manage data as a strategic business asset, enabling data sources and infrastructure for various use cases. - Define and maintain the data & analytics vision and strategy, aligning practices with firmwide objectives. - Identify data sources, vendors, and outside partners to fulfill the data & analytics strategy, aligning with the firm’s architecture, technology, and information security. - Responsible for leading and developing a team of Data and Analytics professionals required to deliver on enterprise strategic initiatives and operational priorities.  - Establish and govern standardized data definitions, metrics, and KPIs across the enterprise for consistency and alignment in reporting. - Develop and maintain processes to ensure high levels of data quality, integrity, and reliability. - Lead initiatives to define, document, and govern analytics methodologies, ensuring proper metric selection and model validation. - Guide functional Intelligence leaders to synthesize data and analytics use cases, assign data stewardship, and prioritize insights for business decision-making. - Advise on AI capabilities, supporting leadership and innovation teams in aligning data and analytics strategies with enterprise-level AI initiatives. - Recommend and evolve the enterprise operating model for data and analytics to ensure alignment with business strategy and capabilities. - Manages the Data & Analytics function’s budget, ensuring alignment with firm goals while driving cost-effective strategies across projects, technologies, and personnel. Knowledge, Skills and Abilities: Required Qualifications: - Bachelor’s degree in Data Science, Computer Science, Business Analytics or other job related major (required).  - MBA or other advanced technical degree (preferred).  - Minimum of 10 yearsjob-related experience, preferably within a professional services or accounting firm.  - 5+ years’ experience successfully leading a team to work together to deliver results.   - Knowledge of Enterprise data management principles.  - Next-generation knowledge and expertise on data insights and business intelligence.   - Awareness of professional services industry and its specific data needs and opportunities.   - Strong knowledge of Data governance and quality  Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedIn page to connect!    #LI-REMOTE #LI-BD1