AVP of Data Analytics and Business Intelligence

Horizon Credit Union•Spokane Valley, WA

12h•$93,280 - $144,584

About The Position

The AVP of Data Analytics and Business Intelligence is a strategic role responsible for leading the credit union's analytics practice, accelerating data-driven transformation across all business functions, and cultivating a thriving data culture. Reporting to the SVP of Information Technology, this position will architect and execute our vision for enterprise-wide business intelligence, modernize the data infrastructure through cloud-based solutions, and establish advanced analytics capabilities that translate complex data into clear, actionable insights to support strategic decision-making. This leader will champion ethical data governance and responsible data practices, build a high-performing analytics team, and position our credit union as an industry leader in leveraging data to enhance the member experience, optimize operations, and drive sustainable growth using data as a strength.

Requirements

Bachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field required. Master's degree or MBA strongly preferred
10+ years of progressive experience in data analytics, business intelligence, or related fields
5+ years in a senior leadership role managing analytics teams and practices
Proven track record of successfully leading large-scale data modernization and cloud migration initiatives
Deep expertise with enterprise BI platforms (Power BI, Tableau, or similar)
Familiarity with the way enterprise BI platforms are incorporating generative AI and agentic analytics features like Copilot and Tableau Next
Extensive experience with data integration tools such as Informatica, Talend, or equivalent ETL/ELT platforms
Demonstrated success in establishing and leading data governance programs
Experience with cloud data platforms (Azure, AWS, or GCP) and modern data warehouse/lakehouse architectures
Strong understanding of data architecture, data modeling, and database design principles
Proficiency in SQL and experience with relational and non-relational databases
Knowledge of programming languages commonly used in analytics (Python, R, or similar)
Familiarity with modern data stack components, including data orchestration, transformation, and observability tools
Understanding of machine learning concepts and AI/ML implementation in business contexts
Experience with API integrations and real-time data processing
Proven ability to translate business requirements into technical solutions and vice versa
Strong strategic thinking with the ability to balance long-term vision with short-term execution
Excellent stakeholder management skills with experience presenting to C-suite and board-level audiences
Demonstrated ability to drive organizational change and adoption of new technologies
Budget management and vendor negotiation experience
Strong project management capabilities with track record of delivering complex initiatives on time and within budget
Exceptional written and verbal communication skills with ability to convey complex technical concepts to non-technical audiences
Proven ability to influence and build consensus across organizational boundaries
Experience fostering data-driven culture and promoting data literacy
Strong interpersonal skills with ability to mentor and develop talent

Nice To Haves

Experience in financial services, credit unions, or banking industry
Knowledge of credit union operations, regulations, and member service models
Master's degree in Data Science, Computer Science, Statistics, Business Analytics, or related field
Relevant certifications (e.g., CDMP, cloud certifications, Tableau/Power BI certifications)
Experience with specialized financial analytics including credit risk, ALM, member lifetime value, or fraud detection
Familiarity with core banking systems and credit union technology ecosystems
Experience implementing self-service analytics and data democratization initiatives

Responsibilities

Define and execute a comprehensive, forward-looking business intelligence and analytics strategy aligned with organizational objectives and member needs
Drive the modernization of our data pipeline architecture, transitioning from legacy systems to cloud-based platforms and best-in-class solutions
Champion the adoption of advanced analytics capabilities including predictive and prescriptive analytics to inform strategic decisions
Evaluate the potential impact, risks, and opportunities of emerging technologies in machine learning, generative AI, and agentic analytics, and advise leadership on responsible and strategic adoption
Foster a thriving data culture where data has "a seat at the table" in every strategic decision through training, recognition programs, and cross-functional collaboration
Serve as a trusted advisor to the executive team and Data Governance Council on data-driven insights, trends, and opportunities
Build and communicate the business case and strategies for analytics investments and initiatives
Lead the design, development, and implementation of scalable, cloud-based data infrastructure and analytics platforms
Oversee the full data lifecycle from ingestion and integration through analysis and visualization
Ensure optimal performance, security, and reliability of all business intelligence and data analytic systems and pipelines
Drive adoption and optimization of enterprise analytics tools including Microsoft Power BI, Tableau, and other visualization platforms
Partner with other departments to ensure seamless integration of data sources across the organization
Evaluate and implement emerging technologies and methodologies to maintain competitive advantage
Oversee the development and delivery of dashboards, reports, and self-service analytics capabilities
Translate complex data findings into clear, actionable business recommendations
Communicate the “why” behind analytics, translating data investments into presentations and data stories that inspire understanding and action
Drive the democratization of data across the organization while maintaining appropriate governance
Establish KPIs and metrics frameworks to measure organizational and member success
Lead advanced analytics initiatives including member segmentation, predictive modeling, risk analytics, and optimization
Establish and enforce comprehensive data governance frameworks, policies, and standards
Ensure data quality, accuracy, integrity, and security across all systems and processes
Maintain compliance with all relevant regulations including NCUA requirements, data privacy laws, and industry standards
Elevate data governance from compliance to trust-building, ensuring transparency, accountability, and ethical stewardship
Champion the responsible and ethical use of data, ensuring privacy, transparency, and fairness guide all analytics initiatives
Implement data stewardship programs and establish clear ownership and accountability structures
Create and maintain data dictionaries, metadata management, and documentation standards
Build, mentor, and lead a high-performing team of data analysts, data engineers/architects, and BI developers
Foster a culture of innovation, continuous improvement, and data literacy across the organization
Foster an open and supportive environment where employees are encouraged to question, learn, and explore through data
Develop talent through coaching, training, and career development opportunities
Champion organization-wide data literacy programs that help non-technical employees understand, interpret, and use data responsibly
Establish clear performance metrics and accountability measures for the analytics team
Partner with stakeholders across the organization to understand needs and deliver actionable insights

Benefits

Medical, Dental, & Vision Insurance for full-time and reduced full-time employees & their families
Telemedicine for part-time employees
Paid Group Life and Disability Insurance
Employee Assistance Program
Tuition Reimbursement Program
401K Retirement Savings
Employer 401K Retirement Contributions & Matching upon eligibility
Discretionary Annual Incentive Bonus based on eligibility criteria
Paid Time Off per Full Calendar Year:
10 hours of PTO per month (prorated for reduced full-time and part-time)
Paid Birthday Holiday
2 Paid Wellness Days
Up to 24 hours of Paid Volunteer Time annually
11 Paid Holidays
And More!