
1001 - 5000 employees
Founded 1968
💼 Consulting
🏥 Healthcare
🍽️ Food & Beverage
Consulting • Healthcare • Food & Beverage
Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.
🔥 7 minutes ago
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1001 - 5000 employees
Founded 1968
💼 Consulting
🏥 Healthcare
🍽️ Food & Beverage
Consulting • Healthcare • Food & Beverage
Acxiom is a leading data service provider that specializes in leveraging data management, identity resolution, analytics, and martech services to help businesses enhance their marketing efforts. With a commitment to the ethical use of data, Acxiom offers solutions across various industries such as automotive, healthcare, telecommunications, financial services, and retail. Their expertise aids in optimizing marketing strategies to acquire, retain, and grow customer relationships. Acxiom partners with renowned platforms such as Adobe, Salesforce, and Snowflake to drive data-driven marketing and enable digital transformation for their clients.
• Lead Acxiom’s multi-year modernization of its on-premises technology estate • Own the multi-cloud target-state architecture and transformation execution • Lead architecture, engineering, operations, migration delivery, and program management teams • Set the transformation strategy and establish a sequenced, multi-year modernization plan • Build the business case and drive workload disposition decisions across retire, rehost, replatform, refactor, and replace • Define workload placement principles across AWS, Azure, and GCP • Own the integrated roadmap, funding, governance, and executive reporting • Sequence migration waves based on dependencies, data gravity, business criticality, readiness, and risk • Protect service quality and client commitments through rollback, disaster recovery, observability, and operational readiness • Build a secure multi-cloud foundation spanning identity, networking, policy, encryption, observability, resilience, and automated provisioning • Drive infrastructure as code, policy as code, CI/CD, container platforms, and platform engineering practices • Set standards for cloud-native architecture and manage performance, data residency, portability, provider concentration, and total cost of ownership • Move data analytics platforms and machine learning workloads to appropriate cloud architectures • Establish governance for data movement, lineage, quality, access, privacy, and model operations • Build security, privacy, resilience, and regulatory compliance into architecture and delivery • Protect sensitive consumer and client data throughout migration and provide control-effectiveness evidence to clients and auditors • Deliver migration waves, financial commitments, and data center exit or consolidation milestones • Reduce legacy infrastructure, technical debt, and stranded contracts through verifiable decommissioning • Improve cloud cost and unit-cost performance, availability, security, audit readiness, and engineering capability
• Significant executive leadership experience in enterprise infrastructure, cloud, data platforms, or technology transformation • Direct accountability for at least one large, multi-year data center modernization or exit, leading across business units, vendors, and geographies • Executive-level knowledge of AWS, Azure, and GCP • Knowledge of modern platform engineering, including containers, infrastructure as code, CI/CD, and observability • Experience modernizing enterprise data architecture, including batch and real-time processing, analytics platforms, and AI/ML infrastructure • Strong command of cloud economics, transformation business cases, vendor negotiations, budgets, and FinOps • Experience with cloud security, privacy, resilience, compliance, and audit in an environment managing sensitive data • Record of building senior teams, leading through organizational resistance, and communicating with the board, executives, clients, and engineers • Preferred: transformation leadership at large global consumer, retail, marketing, data services, or similarly complex enterprises with high-volume data processing and material privacy obligations • Preferred: experience structuring partnerships with AWS, Azure, and GCP and managing systems integrators • Preferred: prior experience in the marketing agency business or understanding of its products, clients, operating environment, and culture
• Equal opportunity employer protections, including disability and protected veteran status • Remote/homebased work arrangement • Remote work may be considered for applicants in listed states/localities under applicable equal pay or pay transparency laws
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