Vice President, Data Solutions

Langley Federal Credit Union•Newport News, VA

1d•$160,000 - $220,000

About The Position

The Vice President, Data Solutions provides executive leadership for Langley’s enterprise data function, including business analytics, reporting, data engineering, and ETL operations. The role is accountable for making accurate data accessible across the organization, reducing friction between business questions and trusted answers, and advancing data, analytics, and AI-readiness capabilities. The VP owns enterprise data strategy, data governance, the enterprise data warehouse and AI data warehouse architecture, and the analytics delivery model. The position leads business analytics consultants, report developers, data engineering, and ETL staff, and partners with executive and business unit leaders to embed data-driven decision-making into strategic and operational processes. The VP owns Langley’s enterprise data strategy and data-accessibility approach, warehouse architecture and roadmap, governance policies, and AI data readiness and governance. The role leads analytics delivery, team development, data pipelines and ETL operations, and the data-related capabilities required for enterprise initiatives. It also collaborates with IT Infrastructure, Information Security, the Salesforce CRM Platform leader, executive leadership, and business units, and manages data platform, analytics tooling, and ETL vendor relationships. Langley employees are expected to demonstrate its Keys to Success: Service Champion, Langley Ambassadors, Agile in Action, Team Driven, and Continuous Learners.

Requirements

Bachelor’s degree in data science, data analytics, computer science, information systems, or a related field, or an equivalent combination of education and experience.
At least 10 years of experience in business analytics, data engineering, and data warehousing within a complex corporate environment.
At least 5 years leading and managing data or analytics teams.
Experience presenting data strategy and analysis results to executive leadership and boards.
Expertise in data governance, analytics strategy, cloud data architecture, and business intelligence.
Experience with enterprise data warehouse architecture, ETL platforms, and business intelligence tools.

Nice To Haves

Master’s degree.
Experience leading through a delivery-model transformation.
Advanced proficiency in SQL Server Integration Services, Azure Data Factory, Tableau, or Power BI.
Experience establishing AI governance frameworks, including data quality standards, model risk management, and responsible AI practices.
Experience in financial services, banking, or credit union environments.
Experience supporting data capabilities through a core system conversion or comparable enterprise platform migration.

Responsibilities

Own Langley’s enterprise data strategy and ensure alignment with the organization’s growth strategy.
Serve as the accountable executive owner for enterprise data accessibility, improving the path from business question to trusted answer and advancing self-service analytics adoption.
Own the architecture and roadmap of the enterprise data warehouse and AI data warehouse, including data models, curation standards, semantic layers, and metadata layers.
Partner with executive and business unit leaders to integrate analytics and KPIs into strategic planning, initiative measurement, and operational decision-making.
Recommend enterprise data platform investments to the CIO and inform enterprise technology strategy and executive decisions that depend on data capabilities.
Develop, execute, and enforce enterprise data governance policies, including defined ownership and stewardship across business units.
Own enterprise AI data readiness, including data quality, lineage, and metadata standards for responsible and effective AI use.
Own AI governance for data and analytical models, including documentation, inventory, risk assessment, and compliance; serve as the named first-line owner of model risk within IT, accountable to enterprise risk management oversight.
Ensure data governance and model risk practices are examination-ready and scale to the regulatory expectations of a $10B+ institution.
Lead and develop the Data Solutions team, including workforce planning, skill development, team structure and assignments, and performance management.
Align analytics staff to business portfolios to build financial services domain fluency and deliver measurable business outcomes.
Direct the design, delivery, and reliability of scalable, secure data pipelines and ETL processes across cloud and on-premises environments using vendor platforms and tools consistent with Langley’s operating model.
Partner with the Salesforce CRM Platform leader to define boundaries between platform-resident member data and the enterprise data warehouse, including Salesforce data feeds, shared data-quality standards, and measures of member-context completeness and accuracy across channels.
Establish, monitor, and report data function SLAs and KPIs covering accessibility, self-service adoption, pipeline reliability, data quality, and report accuracy; use pre-distribution validation gates for board- and executive-facing reporting and drive continuous improvement and investment decisions.
Ensure data integration, migration, and reporting capabilities required by enterprise initiatives are planned, resourced, and delivered.
Own data architecture, warehouse design, and data pipeline standards, and define requirements for the database environment administered by IT Infrastructure.
Collaborate with IT Infrastructure and Information Security on data protection, access controls, and regulatory alignment across data platforms.
Manage data platform, analytics tooling, and ETL vendor relationships, including evaluation, licensing, due diligence, and performance monitoring in line with third-party risk management expectations.
Demonstrate Langley’s Keys to Success: Service Champion, Langley Ambassadors, Agile in Action, Team Driven, and Continuous Learners.