Director leading marketing data strategy, architecture, and analytics for Marketbridge, an integrated growth consulting and marketing services firm. Advising clients and developing teams across complex marketing technology ecosystems.
Responsibilities
Lead marketing data strategy and architecture across complex client environments.
Define how marketing data is captured, integrated, transformed, governed, activated, and measured.
Establish reusable methodologies, standards, and intellectual property for data architecture, integration, quality, automation, measurement readiness, and analytics delivery.
Own scalable marketing data solutions spanning CRM, marketing automation, media and ABM platforms, web analytics, data warehouses, BI environments, and marketing and sales systems.
Translate business and marketing strategies into data, integration, segmentation, measurement, and reporting requirements.
Oversee ETL processes, APIs, cloud connectors, workflow automation, SQL- and Python-based solutions, and data preparation across platforms.
Establish data quality and governance standards for accurate, consistent, accessible, secure, and reliable marketing data.
Advance marketing measurement and analytics capabilities, including KPI frameworks, reporting structures, and analytical approaches.
Connect data infrastructure, measurement, and analytics to marketing decisions and business outcomes.
Serve as a senior trusted advisor to client Marketing Operations, Analytics, Technology, and Marketing leaders.
Lead discovery and solution-design engagements, document requirements, identify gaps, and develop future-state recommendations and implementation roadmaps.
Evaluate emerging data, analytics, automation, and AI capabilities.
Lead and develop Marketing Data & Analytics talent through coaching, technical guidance, performance management, and career development.
Guide team resourcing and delivery quality across multiple client engagements.
Support new business and organic growth through discovery, solution design, technical scoping, estimation, proposals, and client presentations.
Requirements
8+ years of experience in marketing data, marketing analytics, data engineering, marketing operations, marketing technology, business intelligence, or a closely related discipline.
Experience ideally within an agency, consulting, or complex client-service environment.
Experience leading marketing data strategy and solution architecture across interconnected marketing and sales technology environments.
Strong understanding of audience development, segmentation, personalization, campaign activation, measurement, attribution, reporting, and optimization.
Experience designing or overseeing ETL/ELT processes, data transformations, automated workflows, APIs, system integrations, and data quality frameworks.
Strong working knowledge of SQL and familiarity with Python and modern data transformation or automation approaches.
Technical fluency sufficient to guide solutions and challenge architectural decisions.
Deep expertise in web analytics and tag management, including GA4, GTM, and Adobe Analytics.
Experience defining measurement frameworks, tagging and data layer architectures, event taxonomies, implementation standards, QA processes, and governance.
Experience with Salesforce, HubSpot, Marketo, Salesforce Marketing Cloud, 6sense, Demandbase, cloud data warehouses, BI platforms, and data integration or automation tools.
Strong understanding of data architecture, data modeling, governance, identity, integration patterns, and marketing data quality.
Experience connecting campaign and customer data to KPIs, reporting, performance analysis, and business outcomes.
Ability to translate complex technical concepts for technical and non-technical audiences.
Strong client-facing communication and executive presentation skills.
Ability to lead complex engagements from discovery and requirements gathering through solution design, implementation, and optimization.
Experience managing and developing multidisciplinary data and analytics talent.
Strong cross-functional leadership and collaboration skills.
Experience identifying, scoping, and supporting new business and organic growth opportunities.
Curiosity about AI, automation, modern data platforms, and advanced analytics.
Must be eligible to work in the United States or Canada without visa sponsorship.
Benefits
Flexible PTO
Summer Fridays
Paid parental leave up to 16 weeks for birthing parents
Company closure from Christmas to New Year’s
Comprehensive medical benefits
Free premium access to the Calm app
401(k) with a 3% company contribution (US Only)
Life insurance
Long-term disability coverage
AD&D coverage
Professional development fund ($500)
Continuous learning programs
Company-provided laptop and accessories
Monthly Wi-Fi and cell stipend
Exclusive discounts through Perkopolis
Targeted training, skill-building workshops, and leadership guidance
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