Senior Director, Intelligence

Duck Creek Technologies•Boston, MA
•$187,500 - $333,900•Hybrid

About The Position

The Senior Director, Intelligence leads Duck Creek Technologies’ Intelligence function, advancing analytics, insights, and data-driven decision making across the organization. The role oversees analytics platforms, business intelligence capabilities, and operational insights that help product, engineering, and business leaders make strategic and operational decisions. Reporting within the Data and AI organization, the Senior Director leads teams responsible for analytics engineering, business intelligence, and insight generation. The position partners with Product, AI, Engineering, and business stakeholders to establish metrics, dashboards, and analytical frameworks that turn data into actionable intelligence. It ensures analytics capabilities are scalable, trusted, and aligned with enterprise data and AI strategies, while supporting data-informed product development and operational excellence. The role is flexible-first, with employees able to work from an office, from home, or on a hybrid schedule. Hiring is focused in designated locations, including existing offices and key growth areas such as Boston, Columbia, Bolivar, and the Bay Area. Candidates should be within reasonable distance of one of these locations and open to participating in in-person collaboration as guided by their team and leader. Travel is up to 25%.

Requirements

  • Bachelor’s or master’s degree and/or equivalent experience relevant to the functional area.
  • 10+ years of experience in analytics, business intelligence, data analytics, or related data-focused roles.
  • 5+ years of leadership experience managing analytics, intelligence, or business intelligence teams.
  • Experience developing enterprise analytics frameworks, dashboards, and reporting solutions.
  • Experience working closely with product, engineering, or technology teams in data-driven organizations.
  • Demonstrated experience translating complex data into actionable insights for senior stakeholders.
  • Strong knowledge of modern analytics platforms and business intelligence tools.
  • Expertise in metrics development, performance measurement, and dashboard design.
  • Understanding of enterprise data platforms and analytics architecture.
  • Strong analytical thinking and problem-solving capability.
  • Ability to translate complex data into clear, actionable insights and communicate findings effectively.
  • Ability to collaborate with product, engineering, and AI teams and bridge analytics, data science, and business intelligence disciplines.
  • Strategic thinking and ability to align analytics initiatives with business goals.
  • Operational leadership and execution discipline; ability to lead and develop high-performing analytics teams.
  • Strong stakeholder engagement and cross-functional influence.
  • Commitment to data quality, governance, and analytical integrity, with a continuous improvement mindset.
  • Legally authorized to work in the country of the job location; the company does not sponsor visa petitions for this position.

Nice To Haves

  • Master’s degree in Data Science, Analytics, Business Analytics, Information Systems, or a related field.
  • Experience working in SaaS, cloud software, or enterprise technology organizations.
  • Familiarity with machine learning or AI-enabled analytics environments.
  • Experience supporting product analytics or technology platform decision making.

Responsibilities

  • Lead the Intelligence function responsible for analytics, business intelligence, and insight generation across the organization.
  • Develop and maintain enterprise analytics platforms, intelligence tools, and reporting frameworks.
  • Establish standardized metrics, dashboards, and performance indicators for product, engineering, and operational decision making.
  • Deliver actionable insights and data-driven recommendations for strategic and operational initiatives.
  • Collaborate with product, AI, and engineering teams to ensure analytics capabilities support product innovation and platform development.
  • Translate complex data into meaningful insights that inform technology and business decisions.
  • Build and manage a team responsible for analytics engineering, business intelligence, and insight delivery.
  • Align intelligence initiatives with enterprise data platforms and AI strategies.
  • Support decision-making across business units through consistent reporting, analysis, and data interpretation.
  • Establish governance and standards for analytics quality, metric definitions, and reporting consistency.
  • Identify opportunities to improve operational performance through advanced analytics and data insights.
  • Partner with technology and business leaders to advance a culture of data-driven decision making.

Benefits

  • Flexible work environment.
  • Medical, dental, vision, life, and disability insurance.
  • 401(k) retirement plan with a 6% employer match up to $12,000 annually.
  • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA).
  • Paid holidays, vacation, and volunteer time.
  • Employee Assistance Program (EAP).
  • Annual bonus compensation, subject to plan terms and individual eligibility.
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