AVP of Data Analytics and Business Intelligence

AVP Of Data Analytics And Business IntelligenceThe 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.Strategic LeadershipDefine and execute a comprehensive, forward-looking business intelligence and analytics strategy aligned with organizational objectives and member needsDrive the modernization of our data pipeline architecture, transitioning from legacy systems to cloud-based platforms and best-in-class solutionsChampion the adoption of advanced analytics capabilities including predictive and prescriptive analytics to inform strategic decisionsEvaluate the potential impact, risks, and opportunities of emerging technologies in machine learning, generative AI, and agentic analytics, and advise leadership on responsible and strategic adoptionFoster a thriving data culture where data has "a seat at the table" in every strategic decision through training, recognition programs, and cross-functional collaborationServe as a trusted advisor to the executive team and Data Governance Council on data-driven insights, trends, and opportunitiesBuild and communicate the business case and strategies for analytics investments and initiativesOperational & Analytical Insights DeliveryLead the design, development, and implementation of scalable, cloud-based data infrastructure and analytics platformsOversee the full data lifecycle from ingestion and integration through analysis and visualizationEnsure optimal performance, security, and reliability of all business intelligence and data analytic systems and pipelinesDrive adoption and optimization of enterprise analytics tools including Microsoft Power BI, Tableau, and other visualization platformsPartner with other departments to ensure seamless integration of data sources across the organizationEvaluate and implement emerging technologies and methodologies to maintain competitive advantageOversee the development and delivery of dashboards, reports, and self-service analytics capabilitiesTranslate complex data findings into clear, actionable business recommendationsCommunicate the "why" behind analytics, translating data investments into presentations and data stories that inspire understanding and actionDrive the democratization of data across the organization while maintaining appropriate governanceEstablish KPIs and metrics frameworks to measure organizational and member successLead advanced analytics initiatives including member segmentation, predictive modeling, risk analytics, and optimizationData Governance & ComplianceEstablish and enforce comprehensive data governance frameworks, policies, and standardsEnsure data quality, accuracy, integrity, and security across all systems and processesMaintain compliance with all relevant regulations including NCUA requirements, data privacy laws, and industry standardsElevate data governance from compliance to trust-building, ensuring transparency, accountability, and ethical stewardshipChampion the responsible and ethical use of data, ensuring privacy, transparency, and fairness guide all analytics initiativesImplement data stewardship programs and establish clear ownership and accountability structuresCreate and maintain data dictionaries, metadata management, and documentation standardsTeam Development & LeadershipBuild, mentor, and lead a high-performing team of data analysts, data engineers/architects, and BI developersFoster a culture of innovation, continuous improvement, and data literacy across the organizationFoster an open and supportive environment where employees are encouraged to question, learn, and explore through dataDevelop talent through coaching, training, and career development opportunitiesChampion organization-wide data literacy programs that help non-technical employees understand, interpret, and use data responsiblyEstablish clear performance metrics and accountability measures for the analytics teamPartner with stakeholders across the organization to understand needs and deliver actionable insightsSuccess Looks LikeThe Leading Others Success Profile is a set of competencies that are essential to leaders who directly manage a team. These skills are key to success as this role is responsible for leading the team, getting results through others and developing individuals to reach their full potential. Must be able to communicate well with employees, management, and all stakeholdersBeing Resilient: Rebounds from setbacks and adversity when facing difficult situations.Builds Effective Teams: Builds strong-identity teams that apply their diverse skills and perspectives to achieve common goals.Decision Quality: Makes good and timely decisions that keep the organization moving forward.Develops Talent: Develops people to meet both their career goals and the organizations goals.Directs Work: Provides clear direction and accountabilities.Ensures Accountability: Holds self and others accountable to meet commitments.Manages Conflict: Handles conflict situations effectively, with a minimum of noise.CompensationAt Horizon Credit Union, we believe in attracting and retaining talented team members who embody our CORE Values of Capability, Optimism, Responsibility and Empathy. Our pay values are reflected in our compensation philosophy which rewards individual performance and the potential to contribute to our teams' overall success long-term.The full pay range for this position across all the states in which we hire is $93,280-144,584. The figures shown represent the minimum and maximum of the range for this role. Individual offers are made dependent upon a candidate's experience, education, and skill level.Benefits, Perks, and Other Good StuffWe know there's more to life than just a job. Our benefits are designed to help support our employees and their well-being. Take a look at what we have to offer:Medical, Dental, & Vision Insurance for full-time and reduced full-time employees & their familiesTelemedicine for part-time employeesPaid Group Life and Disability InsuranceEmployee Assistance ProgramTuition Reimbursement Program401K Retirement SavingsEmployer 401K Retirement Contributions & Matching upon eligibilityDiscretionary Annual Incentive Bonus based on eligibility criteriaPaid Time Off per Full Calendar Year:10 hours of PTO per month (prorated for reduced full-time and part-time)Paid Birthday Holiday2 Paid Wellness DaysUp to 24 hours of Paid Volunteer Time annually11 Paid HolidaysAnd More!RequirementsExpertise You NeedEducation & ExperienceBachelor's degree in Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or related field required. Master's degree or MBA strongly preferred10+ years of progressive experience in data analytics, business intelligence, or related fields5+ years in a senior leadership role managing analytics teams and practicesProven track record of successfully leading large-scale data modernization and cloud migration initiativesDeep 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 NextExtensive experience with data integration tools such as Informatica, Talend, or equivalent ETL/ELT platformsDemonstrated success in establishing and leading data governance programsExperience with cloud data platforms (Azure, AWS, or GCP) and modern data warehouse/lakehouse architecturesStrong understanding of data architecture, data modeling, and database design principlesProficiency in SQL and experience with relational and non-relational databasesKnowledge of programming languages commonly used in analytics (Python, R, or similar)Familiarity with modern data stack components, including data orchestration, transformation, and observability tools