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About the role

  • 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

Job type

Full Time

Experience level

Lead

Salary

$115,000 - $130,000 per year

Degree requirement

No Education Requirement

Tech skills

CloudETLPythonSQL

Location requirements

RemoteUnited States

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