Vice President Data & Analytics

Lincoln Investment•Fort Washington, PA

About The Position

The Vice President of Data & Analytics is responsible for defining and executing the enterprise data and analytics strategy. This role owns data platforms, analytics capabilities, and data governance to ensure high-quality, trusted, and actionable insights that support business growth, operational efficiency, regulatory compliance, and informed decision-making. This leader partners closely with business, technology, risk, compliance, and finance teams to move the organization from descriptive reporting to insight-driven and predictive analytics while establishing strong data foundations.

Requirements

12+ years of progressive experience in data, analytics, or technology leadership roles.
Proven experience building and scaling enterprise data and analytics capabilities.
Strong understanding of data architecture, BI platforms, and analytics tooling.
Demonstrated ability to translate business needs into data-driven solutions.
Experience operating in regulated industries (financial services, insurance, healthcare, or similar).
Strong executive communication and stakeholder-management skills.

Nice To Haves

Experience with cloud data platforms and modern analytics stacks.
Exposure to AI, machine learning, or advanced analytics use cases.
Prior experience establishing or maturing enterprise data governance programs.
Bachelor’s degree preferred; advanced degree a plus.

Responsibilities

Define and execute a multi-year enterprise data and analytics strategy aligned to business objectives.
Serve as the executive owner for data as a strategic asset, including analytics, reporting, data science, and data enablement.
Build and lead high-performing data engineering, analytics, BI, and data governance teams.
Establish clear operating models, prioritization, and delivery roadmaps.
Own the enterprise data architecture, including data warehouses, data lakes, and integration patterns.
Partner with Enterprise Architecture and Engineering teams to ensure scalable, secure, and cost-effective platforms.
Drive modernization initiatives, including cloud data platforms and real-time or near-real-time analytics where appropriate.
Ensure data platforms support AI and advanced analytics use cases.
Oversee enterprise reporting, dashboards, and self-service analytics capabilities.
Shift analytics from historical reporting toward predictive and prescriptive insights.
Partner with business leaders to define meaningful KPIs, metrics, and performance measurement frameworks.
Ensure analytics outputs are trusted, actionable, and widely adopted.
Establish and mature data governance, data quality, and metadata management programs.
Define data ownership, stewardship, and accountability models across the enterprise.
Ensure compliance with regulatory, privacy, and security requirements.
Partner closely with Cybersecurity, Risk, and Legal teams on data protection and usage policies.
Own the data and analytics budget, including platform costs and vendor spend.
Drive cost transparency and optimization in partnership with Finance.
Evaluate and manage third-party tools, platforms, and data providers.