VP Digital Platforms, Data & Transformation

CareAbout•Cypress, CA

4d•Hybrid

About The Position

The Vice President, Digital Platforms, Data & Transformation is accountable for building the modern digital, data, and integration foundations to drastically improve timelines and business outcomes. They will lead the design, implementation, and scaling of enterprise data platforms, technology enablement, and architecture needed to execute our AI and digital strategy in a complex and regulated environment.

Requirements

Bachelor’s minimum. Ideally an advanced degree in computer science or related area of study combined with experience. Pertinent experience may be considered in lieu of education.
10+ years of experience in senior leadership roles
10+ years leading multi-disciplinary technology teams
MS Word, Excel, Outlook and Power Point
Demonstrated track record of delivering cross‑functional transformation initiatives with measurable business impact (e.g., productivity, quality, revenue, or customer outcomes).
Proven ability to work effectively with senior business stakeholders and to influence strategy without relying solely on positional authority.
Excellent communication, stakeholder management, and executive presence.
Demonstrated ability to drive strategic change, deliver results, and inspire organizational growth.
Strong understanding of enterprise IT domains: infrastructure, networking, security, software development, and operations.
Working knowledge of modern data and AI concepts: data platforms and pipelines, analytics, machine learning and generative AI patterns, and MLOps/AI platform basics.
Familiarity with governance practices around data privacy, information security, and model risk management.
Experience operating in a regulated or highly quality‑constrained environment (e.g., healthcare, life sciences, financial services, critical infrastructure) or similarly complex domain.
Demonstrated ability to create high-performing teams – including attracting, retaining, and developing talent.
Fluency in English is an essential requirement for the position of Vice President, Digital Platforms, Data & Transformation

Responsibilities

Design and implement enterprise data architecture and infrastructure that organizes, secures and makes usable our historical and ongoing scientific and business data across sites and systems.
Drive a data strategy covering data quality, standards, stewardship, and secure access as enablers for digital transformation
Stand-up platforms, pipelines, and controls required to safely deploy AI and advanced analytics into production workflows.
Partner with Security, Validation, Quality, and Compliance to ensure AI and automation meet regulatory, privacy, and validation expectations.
Build and manage a high performing team of data scientists, analytics engineers, and product owners (directly or via a dedicated direct report).
Create and scale reusable digital solution patterns (e.g., copilots, workflow automation, analytics accelerators) rather than one off proofs of concept.
Chair (or co-chair) a technology and data governance council with representation from Legal, Compliance, Security, Quality, and key business units.
Contribute to policies and guardrails for responsible AI use, including model selection, data usage, explainability, and human in the loop oversight.
Ensure that digital solutions meet validation, auditability, and documentation requirements appropriate for our industry.
Own risk management for digital and AI initiatives, including vendor risk, data privacy, and operational resilience.
Lead cross‑functional squads that pair technologists with subject‑matter experts to deliver high‑value AI and digital use cases.
Drive change‑management plans, including communications, training, and role redesign, so that teams adopt new tools and ways of working.
Serve as a visible champion for digital transformation, celebrating wins and removing obstacles.
Negotiate and manage strategic relationships with key vendors, integrators, and technology partners.
Monitor emerging technologies and market patterns and translate them into actionable opportunities or risk mitigations for the company.