Global Head of Marketing Data & Insights, MD

State Street•Boston, MA

3d•$170,000 - $267,500

About The Position

The Global Head of Marketing Data & Insights leads marketing analytics, measurement and insights across State Street, reporting to the Head of Digital Strategy & Channel Performance, Senior Vice President. The role sets the vision and practical roadmap for marketing data and analytics, helping marketers and business partners understand performance, audiences and clients, and make better decisions about marketing investment across the organization. The leader will build a consistent, trusted analytics capability and a growth-minded culture that connects analysis to action, using practical improvements and sound judgment rather than waiting for ideal data or infrastructure. The role develops shared measures, visualization standards, dashboards, self-service reporting and timely alerts for executive, strategic and campaign-level decisions. It establishes a disciplined test-and-learn approach using attribution, incrementality, experimentation, benchmarks and other appropriate methods, and translates analysis into recommendations for campaigns, channels, content, audiences and investment. It also combines behavioral, digital, client relationship, sales, product, research and market data to identify useful segments, trends, needs and growth opportunities. The leader partners with data, technology and operations teams to improve data reliability, integration and access; define business requirements for data, semantic models, dashboards and marketing technology; and modernize reporting through reusable data products, automation and AI-assisted insights. The role is accountable for the analytics team’s priorities, standards and ways of working, and hires, coaches and develops a strong globally distributed team. It also works with Privacy, Legal, Risk, Compliance and Information Security to ensure responsible data use, measurement and AI-enabled analytics, while enabling controlled pilots and rapid learning. Strong partnerships with senior leaders across Marketing, the businesses and supporting functions are central to the role.

Requirements

12+ years of experience in marketing analytics, measurement, data strategy, audience insights or a related field, including experience leading teams and building capabilities.
Experience in financial services or another highly regulated industry, with a practical understanding of privacy, risk and controls.
A strong record of solving business and marketing problems with data, rather than simply producing reports.
Deep knowledge of marketing measurement, including key performance measures, attribution, incrementality, experimentation, benchmarking and optimization.
Experience using customer, behavioral and market data to identify trends, explain performance and improve marketing decisions.
Experience partnering with data engineering, data science, technology and operations teams to improve data access, quality, integration and reporting.
Experience setting visualization standards and delivering automated, self-service dashboards for executive, strategic and campaign-level audiences.
Ability to turn complex analysis into clear stories, recommendations and choices for senior leaders and non-technical audiences.
Experience building or transforming an analytics, measurement or insights function and developing strong, globally distributed teams.
Collaborative leadership style, sound business judgment and confidence to challenge assumptions constructively.
Experience applying advanced analytics and AI-enabled tools to automate insight, support decisions and improve marketing performance.

Responsibilities

Set the vision and practical roadmap for marketing data, analytics, measurement and insights.
Prioritize analytics work around important business questions and opportunities to improve decisions and results.
Define a practical AI agenda for marketing analytics, selecting high-value use cases that can demonstrate impact and scale.
Monitor external measurement practices, data capabilities and AI tools, applying them where they add value.
Create shared measures across brand, reputation, audience engagement, client journeys, campaigns, channels, pipeline and business outcomes.
Set visualization standards and guide automated dashboards for executive, strategic and campaign-level audiences.
Build self-service reporting and timely alerts, and tailor measurement approaches to the decisions being made.
Establish a disciplined test-and-learn approach using attribution, incrementality, experiments, benchmarks and other fit-for-purpose methods.
Translate analysis into recommendations for campaigns, channels, content, audiences and investment.
Partner with marketers and business leaders to identify opportunities, test ideas and improve reach, engagement, conversion and efficiency.
Combine behavioral, digital, client relationship, sales, product, research and market data to understand audiences and clients.
Identify meaningful segments, behaviors, patterns, trends, emerging needs and growth opportunities.
Partner with data, technology and operations teams to improve the reliability, connection and accessibility of marketing data.
Define business requirements for data, semantic models, dashboards and marketing technology, making effective use of existing tools.
Modernize reporting with reusable data products, automation and AI-assisted insight generation.
Establish practical data standards so teams can trust information, understand measure definitions and use them consistently.
Lead marketing analytics, measurement and insights with clear priorities, roles and ways of working.
Build shared methods, tools and standards to improve the quality and speed of work.
Hire, coach and develop a globally distributed team.
Partner with Privacy, Legal, Risk, Compliance and Information Security on responsible data use, measurement, performance claims and AI-enabled analytics.
Build documentation, testing and clear ownership into analytics work; ensure appropriate review, monitoring and human judgment for advanced analytics and AI.
Enable controlled pilots and rapid learning while maintaining appropriate trust and governance standards.
Advise senior leaders across Marketing and the businesses, bringing evidence and a clear point of view to decisions.
Bring Marketing, Finance, Sales and Distribution, Technology, Operations and control partners together around shared questions and priorities.
Manage key data, analytics, technology and vendor relationships with a focus on impact, quality and value.

Benefits

Retirement savings plan (401K) with company match.
Insurance coverage including basic life, medical, dental, vision, long-term disability and optional additional coverages.
Paid time off including vacation, sick leave, short-term disability and family care responsibilities.
Access to an Employee Assistance Program.
Incentive compensation, including eligibility for annual performance-based awards, with certain sales-role exceptions.
Eligibility for certain tax-advantaged savings plans.
Inclusive development opportunities.
Flexible work-life support.
Paid volunteer days.
Employee networks.