Director, Product – Insights

22squared

Director leading analytics, scalable data products, and AI innovation at advertising agency 22squared. Overseeing analytics teams and transforming marketing intelligence into client solutions.

Posted 8/19/2026full-timeAtlanta • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading analytics and AI-powered product development, with a strong focus on translating business needs into actionable product strategies and requirements. Capable of managing cross-functional teams and fostering a culture of innovation and continuous improvement in analytics methodologies.

Highest-signal resume keywords

15+ Years Experience In AnalyticsExpertise In Digital And Media AnalyticsStrong Knowledge Of Modern AI CapabilitiesExperience With Salesforce TableauAbility To Translate Business Problems Into Product Requirements

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Analytics Product DevelopmentData Product ManagementAI Workflow AutomationAttribution MeasurementCampaign MeasurementData Privacy GovernanceUser Experience DesignSuccess Metrics DefinitionScalable Analytics MethodologiesAdvanced Attribution Techniques

Soft Skills

Executive CommunicationStorytelling SkillsBuilder MentalityCross-Functional Team LeadershipMentoring And Development

Tools & Technologies

SalesforceTableauSnowflakeAmplitudeGA4Cloud Data ArchitectureAPIsFirst-Party DataIdentity EcosystemsModern BI Platforms

Industry Keywords

Marketing TechnologyData EcosystemsAI AgentsGenerative AILarge Language ModelsMeasurement FrameworksClient-Facing ProductsExperimentationIncremental TestingAgency Environment

Tech Stack

Tools & technologies

CloudTableau

About the role

Key responsibilities & impact

Lead the evolution of the agency’s analytics capability and help build data, intelligence and AI-powered products
Own product strategy and roadmaps for analytics, intelligence and technology-enabled capabilities
Identify recurring client needs, internal processes and proprietary thinking that can become scalable products
Define product requirements, use cases, user experiences, success metrics and development priorities
Partner with external development partners and internal data management, media and other teams through product pilots, launches and adoption
Balance custom client solutions with scalable products serving multiple teams and clients
Gather user feedback and continuously improve products
Define and execute the agency’s strategy for AI-enabled products, agents and workflows
Identify opportunities for AI in analytics, insights, optimization, research, reporting and agency operations
Design AI agents and agentic workflows to automate repetitive work and enhance human decision-making
Partner with data management to evaluate AI models, platforms and architectures
Establish frameworks for testing, measuring and scaling AI use cases
Ensure AI solutions have appropriate governance, data privacy, security and human oversight
Help redesign how work gets done beyond simply using AI
Oversee and develop the Analytics department
Oversee analytics strategy across client accounts, including campaign measurement, audience analytics, attribution, experimentation and advanced measurement
Ensure analytics delivers clear answers about marketing campaign and audience impact beyond reporting
Partner with media, strategy, creative, operations and client teams to translate data into business decisions
Develop an actionable ID-based analytics offering inclusive of PII
Establish scalable analytics methodologies, frameworks and best practices
Guide the evolution of the data and measurement ecosystem
Manage, mentor and develop analytics talent while building AI and product capabilities
Advise agency leadership on data, technology, analytics and AI opportunities
Translate technical concepts into business opportunities for executives, clients and non-technical teams
Lead cross-functional teams without requiring direct reporting relationships
Build a culture of experimentation, product thinking and continuous innovation
Support new business by demonstrating the agency’s data, analytics, technology and AI differentiation

Requirements

What you’ll need

15+ years of experience across analytics, data, marketing technology, product management or related disciplines
8+ years of experience leading analytics, data or multidisciplinary teams
Expertise in digital and media analytics, measurement, attribution and marketing data ecosystems
Expertise with Salesforce Tableau or modern BI platforms
Demonstrated experience developing data products, analytics products or technology-enabled solutions
Strong knowledge of modern AI capabilities, including generative AI, large language models, AI agents and workflow automation
Experience translating business problems into product requirements and technical solutions
Ability to operate across business strategy, analytics and technology
Experience partnering with engineering, data engineering, product, media and client teams
Strong executive communication and storytelling skills
Builder mentality with the ability to move between strategy and execution
Preferred: experience in an agency, consulting or marketing technology environment
Preferred: experience with Snowflake, Amplitude or GA4
Preferred: experience with cloud data architecture, APIs, first-party data and identity ecosystems
Preferred: hands-on experience developing or deploying AI agents, RAG solutions, LLM-powered applications or automated workflows
Preferred: familiarity with MMM, incremental testing, experimentation and advanced attribution
Preferred: experience commercializing analytics, data or technology capabilities into client-facing products

Benefits

Comp & perks

Hybrid work arrangement
Reasonable accommodation support for applicants with disabilities