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VP, Business Intelligence & Data Strategy

Space Coast Credit Union
Melbourne, FL Full Time
POSTED ON 3/25/2025 CLOSED ON 4/6/2025

What are the responsibilities and job description for the VP, Business Intelligence & Data Strategy position at Space Coast Credit Union?

Space Coast Credit Union (SCCU), the 3rd largest state-charted credit union in Florida, is looking for a VP, Business Intelligence and Data Strategy to join our Executive Management Team in Melbourne, FL! SCCU has been in business for over 70 years, has over 8 billion dollars in assets and WE ARE GROWING!

Our Members are our top priority and we stand behind our Brand Promise: Honest People, Trusted Products, Time Valued. We offer a rich benefits package and career advancement opportunities.

SCCU Team Member Benefits

  • ONESCCU annual bonus available!
  • Medical, Dental & Vision Insurance
  • HSA (Health Savings Account) with SCCU matching contribution
  • SCCU Paid Long Term and Short Term Disability coverage
  • SCCU Paid Term Life Insurance
  • Employee Assistance Program (EAP)
  • Paid Time Off
  • 401(K) Pre-Tax Savings Plan with SCCU match- 100% of the first 5% of employee contributions
  • Tuition Reimbursement Program


SCCU Team Member financial discounts & perks (save money every month!):

  • Loan Discounts - Mortgage, 2nd Mortgage, Auto, Motorcycle, Boat etc. / GAP coverage at half price
  • Fixed low rate credit card- 5.99%,if approved
  • FREE Identify Theft Protection!
  • No fee SCCU accounts


VP, Business Intelligence and Data Strategy Duties & Responsibilities

Data Program Development And Maturation

    • Architect and execute a comprehensive strategy to build and mature the organization’s data and analytics program.
    • Establish robust data governance frameworks, ensuring accuracy, consistency, and security across all data assets.
    • Drive the adoption of data-driven culture and decision-making across the organization.


Leadership And Collaboration

    • Lead and mentor a team of data analysts, data scientists, and BI professionals to achieve organizational goals.
    • Collaborate with senior executives and department leaders to identify and prioritize data needs and initiatives.
    • Foster partnerships across departments to align BI efforts with strategic goals and operational priorities.


Strategic Insight Delivery

    • Translate complex data into actionable insights to inform business strategy, improve operational efficiency, and drive revenue growth.
    • Develop and manage a comprehensive suite of BI dashboards and reporting tools tailored to various stakeholders.
    • Regularly present insights and recommendations to the executive team and board of directors.


Technology And Innovation

    • Assess and implement BI tools and technologies that align with organizational needs and scalability.
    • Stay ahead of industry trends and best practices to ensure the BI function remains innovative and competitive.
    • Integrate advanced analytics, such as machine learning and predictive modeling, to enhance data capabilities.


Performance Management And Metrics

    • Define and track key performance indicators (KPIs) to measure the effectiveness of BI initiatives.
    • Continuously refine metrics and methodologies to align with evolving business objectives.


VP, Business Intelligence And Data Strategy Qualifications

  • Bachelor’s degree in Business Analytics, Data Science, Computer Science, or a related field required. A Master’s degree or MBA is strongly preferred.
  • 15 years of progressive experience in business intelligence, data analytics, or related fields.
  • Proven track record of building and maturing data programs within mid-to-large organizations.
  • Demonstrated success in leading high-performing teams and driving cross-functional collaboration.
  • Experience in the financial service industry, specifically credit unions preferred.
  • Proficiency with BI tools (e.g., Power BI) and data platforms (e.g., Azure Synapse).
  • Strong knowledge of SQL, data warehousing, and ETL processes.
  • Familiarity with advanced analytics techniques and tools (e.g., Python, R, SAS) is a plus.
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