Head of Data & Analytics

Paul Murphy Associates
Chicago, IL

Title: Head of Data & Analytics

Location: Chicago, IL (Hybrid)

Full-time

Our client seeking a Data & Analytics Leader to lead a high-impact, cross-functional organization responsible for driving enterprise-wide data strategy, advanced analytics, and AI innovation. This leader will define and execute the company’s data vision, lead global data initiatives, and build scalable platforms that enable data-driven decision-making as well as oversee teams spanning Business Intelligence, Analytics Engineering, Quantitative Research, AI/ML, and client-focused data solutions.

Key Responsibilities

· Establish and deliver an enterprise-wide data and analytics strategy aligned with business goals.

· Lead and grow high-performing data teams, fostering a data-first culture.

· Partner with senior leaders to identify opportunities for innovation, efficiency, and improved insights.

· Ensure high-quality, accessible, scalable global data solutions.

· Build and manage platforms that support analytics, product insights, and customer understanding.

· Champion AI adoption and organization-wide data literacy.

· Communicate insights and recommendations to both technical and non-technical stakeholders.

· Collaborate with engineering teams to integrate new data sources.

· Advance the organization’s data maturity and expand the use of actionable insights.

· Drive AI strategy and embed generative AI into core business operations.

· Develop differentiated data products to support revenue growth.

· Deliver intelligent, scalable tools that enhance decision-making and productivity.

· Shape the long-term data and analytics roadmap for the enterprise.

· Inspire, attract, and retain top data and analytics talent.

· Cultivate a collaborative, innovative, and strategic team culture.

· Build strong relationships with business stakeholders and technology partners.

· Engage executive leadership on AI, analytics, and key data initiatives.

Ideal Candidate Profile

· Master’s degree in a technical or analytical discipline.

·15+ years in data, analytics, or technology roles in Financial Markets, with 10+ years in leadership.

· Strong expertise with modern cloud data platforms (Snowflake) and analytics tools (Sigma, SageMaker).

· Deep experience with complex financial or market data in Options, Futures and Equities.

· Proven success deploying AI solutions at enterprise scale.

· Ability to review technical work (e.g., SQL, Python).

· Exceptional communication skills and ability to translate complex insights into action.

Posted 2025-12-03

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