Global Head of Marketing Data & Insights, MD

State Street; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

State Street is seeking a seasoned marketing analytics leader to drive performance insights, testing, and AI-enabled decisions across marketing teams and business partners. You will partner with Technology, Finance, Risk, and Compliance to build reliable analytics that guide budgets and campaigns in a complex B2B/B2C context.

The role emphasizes business judgment, clear communication, and the ability to foster a growth-minded analytics culture, with a focus on practical AI-enabled insights.

Qualifications

• Experience leading marketing analytics in large organizations.
• Ability to translate data into actionable recommendations.
• Excellent communication with business partners and executives.

Responsibilities

• Set a clear vision and roadmap for marketing data, analytics and insights.
• Create simple, shared measures across channels and outcomes.
• Lead dashboards design for executives and marketers with self-service capabilities.
• Build automated reporting and timely alerts to inform decisions.
• Improve marketing performance with test-and-learn, attribution and experiments.

Skills

Marketing analytics

Data storytelling

Cross-functional collaboration

AI in marketing

Tools

Tableau

Power BI

Python

Job description

Who We're Looking For

We are looking for a seasoned marketing analytics leader who is both a creative problem-solver and a rigorous operator. This person will help marketers and business partners understand what drives marketing performance, what success looks like and where we can make better decisions with our budgets across businesses.

The right leader knows how to work with data and technology teams to make reliable information easier to access and use. They can turn that data into practical insights-spotting trends and behaviors, finding opportunities to improve performance, and building a strong test-and-learn culture. They will also help us reimagine marketing analytics for the AI era, using automation and AI-enabled insights to shorten the path from a question to a decision and to improve how campaigns are planned, run and optimized.

This role calls for strong business judgment, clear communication and the ability to build trusted relationships across Marketing, the businesses, Technology, Enterprise Data & AI, Finance, Operations, Risk, Legal and Compliance. Financial services experience is important, along with a practical understanding of marketing analytics in complex B2B and B2B2C models where point-of-sale data may be limited or unavailable. The role reports to the Head of Digital Strategy & Channel Performance, Senior Vice President, and leads marketing analytics, measurement and insights across the organization.

Why This Role Matters

Better intelligence and insights should lead to better marketing decisions. This leader will give teams a clear view of what is working, what is not and why. Their work will help us understand our audiences and clients, improve campaigns and channels, make smarter investment choices and show how Marketing contributes to business results. They will build a more consistent, trusted and useful analytics capability-and an open, growth-minded culture that connects analysis to action. As a coach and advocate, they will raise our maturity through practical steps, creative problem-solving and visible progress rather than waiting for perfect data, major new infrastructure or ideal conditions. They will also help us use AI to move faster and leapfrog traditional stages of analytics maturity, while applying sound judgment and appropriate controls.

What You Will Be Responsible For

Set the Direction

• Set a clear vision and practical roadmap for marketing data, analytics, measurement and insights.
• Start with the business questions that matter most, then focus the team on the work that can improve decisions and results.
• Define a practical AI agenda for marketing analytics, prioritizing a small number of high-value use cases that can demonstrate impact, build confidence and scale over time.
• Bring an informed external view of new measurement practices, data capabilities and AI tools, and apply them where they add real value.

Make Performance Clear

• Create a simple, shared set of measures across brand, reputation, audience engagement, client journeys, campaigns, channels, pipeline and business outcomes.
• Set a high bar for data visualization so complex findings become clear, compelling stories that help people decide and act.
• Guide the design and automation of dashboards for distinct audiences - from senior executives reviewing enterprise performance to marketers making in-flight campaign decisions.
• Build self-service reporting and timely alerts that give teams useful answers without adding unnecessary manual work.
• Match the measurement approach and level of detail to the decision - whether we are setting strategy, reviewing investment or improving work already in market.

Improve Marketing Performance

• Build a disciplined test-and-learn approach using attribution, incrementality, experiments, benchmarks and other fit-for-purpose methods.
• Turn analysis into specific recommendations for campaigns, channels, content, audiences and investment.
• Work closely with marketers and business partners to identify opportunities, test ideas and improve reach, engagement, conversion and efficiency.

Understand Audiences, Clients and Markets

• Bring together behavioral, digital, client relationship, sales, product, research and market data to build a fuller picture of our audiences and clients.
• Identify meaningful segments, behaviors and patterns that can make our marketing more relevant and effective.
• Surface trends, emerging needs and growth opportunities early enough to shape marketing and business plans.

Strengthen Data and Technology Foundations

• Partner with data, technology and operations teams to make the right marketing data reliable, connected and easier to access.
• Define clear business requirements for data, semantic models, dashboards and marketing technology, making the most of current tools before adding new ones.
• Modernize reporting through reusable data products, automation and AI-assisted insight generation, reducing manual effort and improving speed.
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