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Director, Marketing Technology Consulting

Bond Brand Loyalty
Remote, CAN
Full-time
Senior · 8+ years experience
Remote
CAD 135000-185000 yearly / year
Discovered 2 weeks ago
SalesforceBrazeAdobeSegmentmParticleTreasure Data

Full Job Posting

Job requirements

  • 8+ years of hands-on loyalty or martech platform experience, including implementation and day-to-day operations.
  • Experience translating business needs into technical solutions and leading cross-functional delivery.
  • Strong knowledge of customer data, integrations, personalization, and consent management.
  • Proven client-facing consulting, communication, and troubleshooting skills.
  • Based in Mountain or Pacific time, or able to consistently work those hours.

Job responsibilities

  • Partner with senior leadership to advise clients on marketing technology strategies and best practices.
  • Lead discovery sessions, requirements gathering, and solution design workshops.
  • Support the development of marketing technology roadmaps and integration strategies.
  • Translate business objectives into actionable technical plans for martech, data, and engagement solutions.
  • Collaborate with marketing, IT, analytics, and operations teams to ensure alignment.
  • Customer Data Platforms (CDP)
  • Marketing Automation Platforms
  • Loyalty Management Platforms
  • Journey Orchestration
  • Personalization & Decisioning Engines
  • Identity Resolution & Consent Management
  • Data Activation and Customer Analytics
  • Salesforce (Marketing Cloud, Data Cloud, Loyalty Management)
  • Braze
  • Adobe
  • Segment
  • mParticle
  • Treasure Data
  • Snowflake
  • Manage mid-to-large consulting engagements from planning through implementation.
  • Oversee solution architecture, delivery coordination, and quality assurance.
  • Ensure solutions are scalable, secure, and aligned with client objectives.
  • Coordinate with engineering, analytics, and campaign operations teams for successful deployment.
  • Assist delivery teams in resolving platform issues by facilitating discussions with technology partners and coordinating paths to resolution.
  • Contribute to reusable delivery frameworks and best practices.
  • Assist in applying AI and machine learning to enhance personalization and engagement.
  • Support initiatives involving predictive analytics, next-best-action, and marketing automation.
  • Stay informed on emerging martech and loyalty trends to bring new ideas to clients.
  • Support pre-sales activities, including proposal input, solution outlines, and presentations.
  • Identify opportunities to expand existing client engagements.
  • Contribute to case studies, thought leadership pieces, and internal knowledge sharing.
  • Maintain relationships with technology partners.

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