Senior Vice President, Cloud Transformation & Architecture

Location: New York

Acxiom is seeking a Senior Vice President of Cloud Transformation & Architecture to lead a multi-year modernization of its on-premises technology estate. This executive will own both the multi-cloud target-state architecture and the execution of the transformation, working with Acxiom’s engineering and architecture leadership and its technology and service partners.
This is an enterprise transformation role for an executive who sets direction with the senior leadership team while staying close enough to the architecture and delivery work to resolve difficult decisions. The successful candidate will have led large, multi-year data center and cloud transformations in complex global enterprises, protecting service continuity while building a secure, financially disciplined cloud operation.## Reporting and scope

The SVP reports to the Chief Cloud & Data Modernization Officer and leads a dedicated team spanning architecture, engineering, operations, migration delivery, and program management. Scope includes Acxiom’s data centers, infrastructure, enterprise and client-facing applications, data and analytics workloads, vendor relationships, and the teams and processes required to run a multi-cloud estate.##

Key responsibilities:

## Set the transformation strategy
* Establish the target state and a sequenced, multi-year plan for data center modernization, workload migration, application modernization, and facility exit.
* Build the business case with senior leadership and drive fast, evidence-based workload disposition decisions (retire, rehost, replatform, refactor, replace).
* Define workload placement principles across AWS, Azure, and GCP that align with Acxiom’s product, data, AI, client, and privacy requirements.## Lead execution
* Own the integrated roadmap, funding, governance, and executive reporting, holding internal teams and partners accountable for business outcomes.
* Sequence migration waves by dependencies, data gravity, business criticality, readiness, and risk, with measurable targets.
* Protect service quality and client commitments, ensuring every wave includes tested rollback, disaster recovery, observability, and operational readiness.## Build the multi-cloud foundation
* Build a secure foundation across AWS, Azure, and GCP spanning identity, networking, policy, encryption, observability, resilience, and automated provisioning.
* Partner with Acxiom’s Product Automation team to drive infrastructure as code, policy as code, CI/CD, container platforms, and platform engineering practices.
* Set standards for cloud-native architecture that modernize without forcing unnecessary rewrites, accounting for performance, data residency, portability, provider concentration, and total cost of ownership.## Modernize data and AI platforms
* Partner with data, product, analytics, and AI leaders to move data analytics platforms and machine learning workloads to appropriate cloud architectures.
* Establish governance for data movement, lineage, quality, access, privacy, and model operations, creating a foundation for production AI without weakening security, reliability, or cost controls.## Protect Acxiom and its clients
* Build security, privacy, resilience, and regulatory compliance into architecture and delivery from the start, working with security, legal, privacy, and risk leaders to translate obligations into enforceable controls.
* Protect sensitive consumer and client data throughout migration and give clients and auditors clear evidence of control effectiveness.## Measures of success
* Delivery against migration waves, financial commitments, and data center exit or consolidation milestones.
* Reduction in legacy infrastructure, technical debt, and stranded contracts, with legacy assets…