The Dun & Bradstreet Corp

Manager, Business Intelligence - E08

The Dun & Bradstreet Corp$127K — $165K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in data Analytics, Data Science, Statistics, Mathematics, Actuarial Science, Engineering, Computer Science, Finance, or related field/experience.
  • 10+ years of experience in business intelligence, data analytics, or related leadership roles.
  • Demonstrated expertise in developing and executing enterprise-level BI or data strategies.
  • Deep knowledge of SQL, Python (PySpark, pandas), and distributed computing.
  • Strong understanding of data modeling including dimensional and Lakehouse architectures.
  • Experience with Microsoft Azure cloud platforms and modern BI tools like Power BI and Tableau.
  • Knowledge of data governance, security, and compliance frameworks.

Responsibilities

  • Support leaders across analytic functions, ensuring alignment with Company objectives.
  • Define and execute a unified enterprise data and analytics strategy.
  • Design and implement an enterprise-wide Lakehouse architecture using Azure Databricks.
  • Manage complex migration projects from legacy to modern systems.
  • Champion innovation and operational excellence throughout the Company.
  • Influence finance performance reporting and ensure analytics accuracy.
  • Lead and mentor BI developers, fostering collaboration and cross-functional learning.

Benefits

  • Hybrid work opportunity in Frederick, MD.
  • 20 vacation days and 10 sick days accrued bi-weekly.
  • Health, life, and dental insurance, plus a 401K with a company match up to 6%.
  • Professional development support for career progression.
  • Community involvement with paid time off to volunteer for causes of choice.
  • Generous annual bonuses tied to corporate and individual performance.
Full Job Description
Overview

The Manager, Business Intelligence supports the integration of business analytics and various processes in the enterprise to enable data-driven decision-making across the Company and operational efficiency across the Finance function. This is an important role for the Company, ensuring that it is equipped with the insights, tools, and processes needed to make decisions based on a deep understanding of business performance, while also continuously improving the effectiveness and efficiency of the company's operating model. This strategic role requires deep technical expertise in modern cloud data architectures, process management, combined with leadership skills to guide teams and align initiatives with business objectives. The ideal candidate will drive the evolution from legacy systems to a modern Lakehouse architecture on Azure Databricks and serve as advocate for process improvement opportunities derived from our insights.

Responsibilities

PRINCIPAL DUTIES AND RESPONSIBILITIES

Strategic Leadership and Vision
• Supports various leaders of analytic functions across the Company, including FP&A, Actuarial Data Science, Distribution and Marketing, Operational Planning, Risk, and Legal and Compliance.
• Defines and executes unified enterprise data and analytics strategy aligned with Company objectives.
• Supports leadership to ensure data, systems, and processes work together to continuously improve the efficiency of the Enterprise's Operating Model while enhancing the function's ability to build a deep understanding into business performance and actionable insights for leaders.
• Design and implement enterprise-wide Lakehouse architecture using Azure Databricks and Delta Lake
• Define data platform strategy, roadmap, and migration plans from legacy to modern systems
• Manage complex, multi-phase migration projects
• Adapt to new software and rapidly evolving cloud technologies
• Establish architectural standards, patterns, and best practices for data engineering and analytics
• Evaluate and recommend new technologies to enhance the data platform
• Design scalable, cost-efficient solutions supporting TB-scale data processing
• Champion a culture of innovation, analytical rigor, and operational excellence throughout the Company.
• Collaborate with the Finance Transformation team to align ongoing transformation initiatives with the BI and process optimization agenda.

Business Intelligence, Analytics, and Forecasting
• Influences finance performance reporting, dashboards, and analytics to ensure accuracy, timeliness, and strategic relevance.
• Serves as a key member of the strategic planning committee, providing financial leadership and analytical support for distribution channels, staffing and evidence management to aide growth initiatives
• Assists in building budget/plan, forecast, and scenario planning for Annualized Paid Premiums and Value of Business (VNB) growth
• Prepares analysis to explain business performance, also on a pro-forma and normalized basis
• Supports the development and enhancement of analytic tools and visualization frameworks that illuminate operational and financial drivers and support forward-looking analysis.
• Ensure consistent data governance, reporting standards, and best practices across the Company.

Technology Enablement
• Identify and implement new technologies that improve efficiency, data integrity, and user experience across the Finance function.
• Serve as a bridge between Finance and IT to align system capabilities with business needs.
• Possess financial services experience with preferred background in Accounting close procedures, mortality and claims expertise, and various accounting methodologies (international and domestic)

Process Optimization and Continuous Improvement
• Conducts analysis as needed to identify cost optimization and efficiency opportunities, prepares associated actions plans and follows up on their execution
• Prioritize and maintain workloads within the BI team by tracking work in Service Now and JIRA.
• Promote best practices in process management, documentation, and knowledge sharing.

Team Leadership and Development
• Lead and mentor BI developers and contractor(s) under this reporting structure.
• Handle competing priorities and meet tight deadlines
• Mentor junior and mid-level engineers on modern data engineering practices
• Drive adoption of DataOps, DevOps, and CI/CD practices
• Foster collaboration, innovation, and cross-functional learning.
• Oversee hiring, development, performance management, and career growth of team members.
• Manage departmental budgets and resource allocation to balance innovation with operational discipline.

Qualifications

Qualifications

Bachelor's degree in data Analytics, Data Science, Statistics, Mathematics, Actuarial Science, Engineering, Computer Science, Finance, or a related field/experience.

Advanced degree(s) and/or Actuarial Finance, Finance, Accounting, and/or

Project Management qualifications a plus, e.g., Master's degree or higher,

ASA, FSA, CFA, CPA, PMP.

Certifications highly preferred.

Experience and Knowledge

10+ years of progressive experience in business intelligence, data analytics, operations, or related leadership roles.

Demonstrated success developing and executing enterprise-level BI or data strategies.

Demonstrated success influencing cross-functional teams that integrate analytics, systems, and process improvement.

Deep expertise in SQL, Python (PySpark, pandas), and distributed computing preferred

Strong understanding of data modeling (dimensional, Data Vault, Lakehouse)

Experience with cloud platforms, specifically Microsoft Azure

Knowledge of data governance, security, and compliance frameworks

Experience managing enterprise various applications (e.g., ERP, general ledger, reporting, planning, investment accounting, invoicing, payments systems) and modern BI tools (Power BI, Tableau, SQL Server)

Familiarity with agile project delivery and modern data environments (e.g., cloud data platforms)

Proven track record of driving measurable efficiency and insight through process and technology innovation

Experience in collaborating with or leading finance transformation initiatives preferred.

What's in it for you?

The expected hiring compensation range for this position is $127,500 - $165,000 annually. This is a hybrid opportunity working in Frederick, MD.

The total compensation package for this position may include other elements, such as a sign-on bonus, long term incentives, and annual bonuses. This role is eligible to participate in the Annual Incentive Plan. The current target payment for the position is 20% of base salary, modified for corporate and individual performance. Bonuses are pro-rated based on start date. This role has 20 vacation days and 10 sick days that are accrued on a bi-weekly basis. Employees also have 9 paid holidays throughout the calendar year.

We have a competitive compensation and benefits package focused on your overall wellbeing. Employee benefits include health, life, and dental insurance; 401K with company match up to 6% as well as a pension package; generous time off; and wellbeing initiatives throughout the year (we like doing fun stuff). We're big on professional development and we'll support and mentor you in your career progression and expect you to help us pay it forward by helping us develop tomorrow's leaders and growth-focused professionals. We value our teams and our communities and believe in giving back. Enjoy time off to volunteer for those causes that matter most to you!

About The Dun & Bradstreet Corp

The Dun & Bradstreet Corporation is a company that provides commercial data, analytics, and insights for businesses. It is headquartered in Short Hills, a community in Millburn, New Jersey, U.S. The company offers a wide range of products and services for risk and finance, operations and supply, and sales and marketing professionals. Its database contains information on more than 360 million businesses worldwide. The company was founded in 1841 and is listed on the New York Stock Exchange (NYSE) under the ticker symbol DNB.
Learn more about The Dun & Bradstreet Corp
Size
6,296 employees
Market Cap
$5.2 billion
Industry
Net Income
-$111.5 million
Founded
1841
Revenue
$1.7 billion
NASDAQ

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