Vice President, Data Solutions

Description

The Vice President, Data Solutions provides executive leadership for Langley's enterprise data function, including business analytics, reporting, data engineering, and ETL operations. This role is accountable for making accurate data accessible across the organization, reducing the friction between business questions and trusted answers, and advancing the data, analytics, and AI-readiness capabilities Langley requires. The VP owns enterprise data strategy, data governance, the enterprise data warehouse and AI data warehouse architecture, and the analytics delivery model;

leads a team of 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.

• Owns Langley's enterprise data strategy, ensuring alignment with the growth strategy.
• Serves as the accountable executive owner for enterprise data accessibility: streamlining the path from business question to trusted answer for business users and delivery teams, and advancing self-service analytics adoption across the organization.
• Owns the architecture and roadmap of the enterprise data warehouse and AI data warehouse, including data models, curation standards, and the semantic and metadata layers that make data findable and trustworthy.
• Champions a data-driven culture, partnering with executive and business unit leaders to integrate analytics and KPIs into strategic planning, initiative measurement, and operational decision-making.
• Recommends enterprise data platform investments to the CIO; informs enterprise technology strategy and executive‑level decisions that depend on data capability.

• Owns the development, execution, and enforcement of enterprise data governance policies, ensuring data is accurate, reliable, timely, and secure, with defined data ownership and stewardship across business units.
• Owns enterprise AI data readiness, including data quality, lineage, and metadata standards that enable responsible and effective AI use across the organization.
• Owns AI governance for data and analytical models, including model documentation, inventory, risk assessment, and compliance with internal policies and regulatory standards; serves as the named first‑line owner of model risk within IT, accountable to enterprise risk management oversight.
• Ensures data governance and model risk practices are examination‑ready and scale with the heightened regulatory expectations of a $10B+ institution.

• Leads and develops the Data Solutions team which includes business analytics consultants, report developers, data engineering, and ETL staff. This includes workforce planning, skill development, team structure and assignments, and performance management.
• Aligns analytics staff to business portfolios to build financial services domain fluency and deliver measurable business outcomes.
• Directs 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.
• Partners with the leader of Salesforce CRM Platform to define the boundary between platform‑resident member data and the enterprise data warehouse. Includes ownership of data feeds into and out of Salesforce, shared data‑quality standards, and defined measures of member‑context completeness and accuracy across channels.
• Establishes, monitors, and reports data function SLAs and KPIs,…