Senior Vice President, Director of Performance Measurement & Infrastructure

Omnicom

. Set the multi-year vision, go-to-market strategy, and roadmap for the agency’s data, infrastructure, and AI capability suites .

Posted 9/22/2026full-timeUnited StatesSenior💰 $160,000 - $215,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data infrastructure and analytics practices, with a strong focus on strategic growth, team development, and client relationship management. Proficient in architecting solutions across data engineering and machine learning while ensuring effective data governance and performance measurement.

Highest-signal resume keywords

Data Infrastructure LeadershipMarketing Analytics ExpertiseTeam Development and MentorshipClient Relationship ManagementStrategic Growth Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringMachine Learning ModelsAnalytics Practice GrowthPerformance Measurement MethodologiesData Governance FrameworksConsumer Intelligence EnginesCustom Database BuildsMulti-Tiered Team ManagementCloud Infrastructure InvestmentsTechnical Roadmap Development

Soft Skills

Coaching and CollaborationPsychological Safety AdvocacyContinuous Learning PromotionEquitable Talent Development

Tools & Technologies

BrandwatchSprinklrTalkwalkerGCPAWSAzureLangChainLlamaIndexMLOpsInfrastructure as Code

Industry Keywords

Data GovernanceAI Capability SuitesFortune 50 Client EngagementIntellectual Property DevelopmentEnterprise Measurement Analytics

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Set the multi-year vision, go-to-market strategy, and roadmap for the agency’s data, infrastructure, and AI capability suites
Hire, develop, and mentor a high-performing analytics team
Lead the strategic expansion of intelligence offerings
Establish practice-wide data governance
Cultivate high-level relationships with Fortune 50 client stakeholders
Lead, coach, and collaborate with senior analysts and directors
Architect agency-wide solutions across data engineering, machine learning models, autonomous agents, and enterprise measurement analytics
Serve as executive sponsor and strategic advisor to Fortune 50 clients
Drive practice growth through new intellectual property, product packaging, pricing intelligence products, and enterprise agency proposals
Represent Methods+Mastery as an industry authority on data architecture, AI governance, and social/marketing/communications intelligence trends
Develop goals, KPIs, measurement methodologies, performance reports, cultural and trend analyses, audience profiles, influencer assessments, and other intelligence deliverables
Direct technical roadmap decisions, vendor alliances, cloud infrastructure investments, and data governance frameworks
Co-lead and scale the Insights & Analytics organization
Establish career pathways and directly manage VP- and Director-level leaders
Partner across Planning, Strategy, Content, Communications, Operations, and Account Management
Drive an inclusive, high-performing culture focused on psychological safety, continuous learning, and equitable talent development

Requirements

What you’ll need

14+ years of experience leading data infrastructure, marketing analytics, or data engineering practices
Significant experience in senior executive agency or management consulting roles
Proven track record of growing a multi-million-dollar analytics practice
Experience managing department P&Ls
Experience scoping large-scale enterprise project-level and annual agreements
Master-level ability to synthesize and present complex technological capabilities into strategic business imperatives for C-level executives
Deep familiarity with social listening infrastructure
Experience with consumer intelligence engines such as Brandwatch, Sprinklr, and Talkwalker
Experience with custom database builds and modern data stack ecosystems
Demonstrated success managing, scaling, and developing multi-tiered analytics and engineering teams
Nice-to-have: experience with LangChain, LlamaIndex, MLOps, Algorithmic Governance/XAI
Nice-to-have: expertise in GCP, AWS, Azure, and Infrastructure as Code
Nice-to-have: experience leading measurement and analytics technical evaluations, vendor partnerships, or co-development deals

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
401(k) matching
Paid time off
Hybrid work arrangement