Define and advance enterprise long-term data vision and roadmap, aligned to business strategy, priorities, and growth objectives.
Position data as a strategic asset to support decision-making via analytics, AI augmented decision support, AI models, and digital innovation.
Lead data and analytics team to an AI first operational model, defining an AI centric SDLC for data & analytics operations.
With business stakeholder define KPIs and value realization metrics tied to value creation.
Identifying opportunities to leverage data, analytics, and AI for growth, risk reduction, margin improvements.
Mature the existing data architecture framework and capability, building a holistic architecture supporting data production through consumption.
Align Data Engineering and Analytics/Reporting to define and enforce enterprise semantic standards, shared business definitions, and governed metrics.

Proven experience of 12+ years in data architecture, analytics, data governance, data management, or related fields, with a minimum of 5+ years in a senior leadership role.
Strong strategic planning and communication skills, with a demonstrated ability to influence at the executive level.
Experience in leading complex, cross-functional teams and aligning data investments with business priorities.
In-depth knowledge of data governance frameworks, tools, and best practices and experience driving business and technical stakeholder partnership for data governance success.
Ability to drive cultural change and foster a data-driven decision-making environment.

The Vice President of Data Strategy & Architecture will set RxBenefits’ enterprise data direction and define the target-state enterprise data architecture and operating model that enables trusted, scalable analytics, AI, and digital experiences.
This leader will translate business priorities into a pragmatic roadmap for data platforms, integration patterns, and an enterprise semantic/metrics layer to ensure consistent meaning across reporting and decision-making.
The role also builds and scales fit-for-purpose data governance ownership and stewardship, standards, data quality controls, metadata/lineage, and access/privacy policies.
The VP partners with business and technology leaders to operationalize data products and reporting while meeting privacy, security, and regulatory requirements.

VP, Data Strategy – Architecture

Key skills