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Advocacy. Expertise. Service.
VP, Data Strategy – Architecture
Location
United States
Posted
67 days ago
Salary
$96K - $120K / year
Seniority
Lead
Job Description
VP, Data Strategy – Architecture
RxBenefits, Inc.
• 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.
Job Requirements
- 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.
Benefits
- 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.
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