Business Intelligence Manager

Job Description

The Business Intelligence Manager leads our data and analytics function, helping the organization make smarter, faster, and more impactful decisions. The Business Intelligence Manager oversees a team of analysts and partners across the credit union to unlock the value of our data, drive growth, improve member experience, and enable innovation. This role also leads to the evolution of our data warehouse, reporting tools, and analytics capabilities to ensure data is accessible, trusted, and actionable.

• Champion a culture of data-informed decision-making across the organization
• Partner with senior leaders and business units to identify and prioritize high-impact opportunities
• Lead, coach, and develop a high-performing analytics team
• Own key analytics platforms and vendor relationships
• Bridge business and technical teams to ensure the right questions are asked and answered with confidence

• Lead development of intuitive dashboards and reporting (e.g., Tableau)
• Translate business needs into meaningful metrics, KPIs, and insights
• Deliver actionable analysis across member growth, lending, deposits, and digital engagement
• Empower teams through self-service analytics and data accessibility

• Establish practical, scalable data governance standards
• Ensure data integrity through quality controls and monitoring
• Define and maintain data definitions, lineage, and documentation
• Support compliance with regulatory, privacy, and security requirements

• Lead design and optimization of the enterprise data warehouse
• Oversee data pipelines and integrations across core, digital, lending, and third-party systems
• Ensure performance, scalability, and reliability of the data environment
• Stay current on modern data platforms and architectures (e.g., Snowflake)

Other duties as assigned.

• Minimum of two years’ post-secondary education or relevant work experience
• Supervisory experience

• Bachelor’s degree or equivalent experience required;
  Masters degree preferred
• Strong SQL expertise
• Experience working with structured and unstructured data environments
• Proficiency with BI tools (e.g., Tableau, Power BI)
• Background in quantitative analysis and statistical modeling
• Understanding of data infrastructure and ELT/ETL frameworks
• Strong analytical and problem-solving skills
• Ability to translate complex data into clear, actionable insights
• Excellent communication and presentation skills
• Ability to work independently and collaboratively
• Strong organization and attention to detail
• Proven leadership and team development experience preferred

Working Conditions: Onsite work is performed in an office setting

Standard Hours/

Schedule:

35 hours per week. 3 days a month onsite with 1-week WFH. Additional onsite days will be required based on business needs.

Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position.

Pre-Employment Screening: Credit, Criminal, Education, Identity, Prohibited Parties (OFAC - Office of Foreign Assets Control).

Other Information: This position has a 90-day orientation and review period.

This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University’s Policy on Employment Outside of Massachusetts.

Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

This position is salary grade level 056. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Harvard offers a…