Description:
The successful candidate brings hands-on experience delivering programs that span both business intelligence and data science, working expertise in AI concepts and their practical application on a Microsoft-centered stack, including Fabric, Power Platform, and Databricks. Success is measured on disciplined, quality, on-time delivery of impactful analytics solutions with demonstrable business value aligned to firm strategy.
Responsibilities
Essential Functions
- Lead, develop, and manage a blended team of 8-10 BI and data science professionals; set direction, manage workload, review performance, and ensure throughput and quality
- Build and own the analytics delivery roadmap: a prioritized, capacity driven queue of BI, data science, and AI-agent projects sequenced with stakeholders and the firm’s strategic programs to maximize business value
- Translate firm and senior-leadership priorities into scoped, estimated, committed work, matching the right technique to the right problem and making explicit trade-offs on scope, quality, and timeline; continuously update the portfolio as priorities, capacity, and platform capabilities evolve
- Own delivery cadence, prioritization, and quality for all business and practice facing analytics output, holding the team and stakeholders to standards, timelines, and strict adherence to scope
- In coordination with the Director and program managers, establish and continuously refine the delivery operating model, including intake, scoping, build, review, release, and adoption
- Define, track, and report delivery and value-realization metrics, including throughput, on-time performance, quality, adoption, and business impact, to IT and firm leadership
- Oversee data science research and proof-of-concept activity that enhances analytical capabilities and strengthens controls for AI agents, model output, and automated workflows
- Ensure delivered solutions comply with the firm's data governance, security, and AI controls, partnering with Enterprise Data, Information Governance and Information Security
- Serve as the point of accountability between the Analytics team and business leadership, practice groups, and operational functions; build and maintain trusted relationships with stakeholders
- Manage contractor and vendor resources supporting delivery, including scoping engagements, overseeing quality, and holding partners to delivery commitments
- Provide input to the Director on budget, headcount, tooling, and external spend for Analytics
- Perform other duties as assigned or required to meet Firm goals and objectives
Education/Training/Certifications
Qualifications, Experience and Personal Attributes
- Required: Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related quantitative or technical field
- Preferred: Advanced degree in Computer Science, Data Science, Business Analytics, or a related quantitative or technical field
Professional Experience
- 8-10 years of progressive experience in analytics, business intelligence, or data science, including five or more years leading delivery teams and owning business-facing delivery accountability
- Demonstrated track record delivering complex, multi-stakeholder programs spanning both business intelligence and data science on time, on quality, and at scale – including ownership of delivery budgets and vendor/contractor relationships
- Experience leading or directly contributing to a generative AI or data science program, from pilot to production deployment and user adoption
- Experience operating on enterprise data platforms and within strong governance frameworks
- Strong people leadership with proven ability to develop talent, manage performance, and run a high-throughput delivery team
- Experience in a global legal, professional services, financial services, or comparable enterprise environment is preferred