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Director, Marketing Technology Consulting

  • Canada

$135,000 to $185,000 CAD / year · Full-time

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Job details

Pay
$135,000 to $185,000 CAD / year
Job type
Full-time
Experience
8+ years of hands-on loyalty or martech platform experience, including implementation and day-to-day operations.
Posting language
English
Posted

Original job description

Job Description

The Director of Marketing Technology Consulting at Bond plays a key role in helping clients design, implement, and optimize marketing technology solutions that power modern customer engagement, personalization, and loyalty strategies.
 
Working closely with Senior Directors, client stakeholders, and cross-functional teams, this role blends strategic consulting skills with hands-on delivery leadership. The Director will guide clients through platform selection, solution design, and implementation of martech ecosystems - including customer data platforms, marketing automation, personalization engines, loyalty platforms, and AI-enabled engagement tools.
 
This position requires a strong understanding of marketing technology architecture, the ability to translate business needs into technical solutions, and a passion for driving measurable outcomes in customer loyalty and engagement.

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

Client Advisory & Solution Design
  • 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.
 
Martech & Loyalty Expertise
Provide consulting and delivery expertise across:
  • Customer Data Platforms (CDP)
  • Marketing Automation Platforms
  • Loyalty Management Platforms
  • Journey Orchestration
  • Personalization & Decisioning Engines
  • Identity Resolution & Consent Management
  • Data Activation and Customer Analytics
Common technologies may include:
  • Salesforce (Marketing Cloud, Data Cloud, Loyalty Management)
  • Braze
  • Adobe
  • Segment
  • mParticle
  • Treasure Data
  • Snowflake
Project Delivery Leadership
•  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.

AI & Innovation Support
•  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.

Business Development & Practice Support
•  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.

Job Benefits

Use of Artificial Intelligence (AI): Bond uses AI tools during parts of the screening, assessment, and selection process, supporting a fair and efficient hiring process. ​  
We welcome applications from all qualified candidates; however, only those selected for an interview will be contacted. ​  

Vacancy Type:  This posting is for a newly created vacancy within Bond.  
The actual base salary compensation will vary depending on local market conditions, geography, and relevant job-related factors such as skills, qualifications, experience, and education/training.   
 
Compensation: The expected base salary compensation for this role is $ 135,000 to $ 185,000 CAD annually

At Bond, we believe compensation is more than a salary. Our Total Rewards program is designed to help you grow your career, support your well-being and keep you meaningfully connected:​​  
  
Flexibility: A hybrid work model and flexible vacation offers agility to meet the needs of our global business and workforce, allowing us to inspire the best from our people.​  

Moments that matter: Social events like F1rst Thursdays, Kick-Off gatherings, and holiday parties make it easy to build relationships and have fun.​  

Health & Wellness support: Competitive healthcare and wellness benefits that care for both body and mind including Medical, Dental, Vision, Health Care Spending Account, Employee Assistance Program, access to 24/7 virtual healthcare and/or consultation services for you and your family  -  all available from your first day.​  

Future-focused: Retirement planning assistance with company matching. ​  

Career development: Access to learning programs, mentorship, stretch projects, and internal mobility to keep you moving forward.​  

Celebrating your impact: Recognition programs for individual and team achievements, peer-nominated awards, and service anniversaries.
More about this job

Responsibilities

Advise clients on marketing technology strategy, lead discovery and solution design, and translate business objectives into technical roadmaps and integrated martech solutions. Lead consulting engagements through implementation, coordinate delivery teams and technology partners, support AI-enabled engagement initiatives, and contribute to business development and practice knowledge sharing.

Requirements

Requires 8+ years of hands-on loyalty or martech platform experience, including implementation and day-to-day operations, along with experience translating business needs into technical solutions and leading cross-functional delivery. Candidates should have strong knowledge of customer data, integrations, personalization, and consent management, proven client-facing consulting and troubleshooting skills, and be based in or able to consistently work Mountain or Pacific hours.

Skills

  • Marketing Technology Consulting
  • Loyalty Platforms
  • Customer Data Platforms
  • Marketing Automation
  • Solution Architecture
  • Requirements Gathering
  • Integration Strategy
  • Personalization
  • Journey Orchestration
  • Identity Resolution
  • Consent Management
  • Customer Analytics
  • Project Delivery Leadership
  • Client Advisory
  • Cross-Functional Collaboration
  • Artificial Intelligence

Benefits

  • Hybrid Work Model
  • Flexible Vacation
  • Social Events
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Health Care Spending Account
  • Employee Assistance Program
  • 24/7 Virtual Healthcare
  • Retirement Planning Assistance
  • Company Matching
  • Learning Programs
  • Mentorship
  • Stretch Projects
  • Internal Mobility
  • Recognition Programs

Visa sponsorship

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Categories

  • Marketing
  • Consulting
  • Technology
  • Management & Leadership
  • Data & Analytics

Keywords

  • Marketing Technology
  • Loyalty Management
  • Customer Data Platform
  • Marketing Automation
  • Journey Orchestration
  • Personalization
  • Decisioning Engines
  • Identity Resolution
  • Consent Management
  • Data Activation
  • Customer Analytics
  • Salesforce Marketing Cloud
  • Salesforce Data Cloud
  • Salesforce Loyalty Management
  • Braze
  • Adobe
  • Segment
  • mParticle
  • Treasure Data
  • Snowflake
  • Solution Architecture
  • Integration Strategy
  • Machine Learning
  • Predictive Analytics
  • Next-Best-Action
  • Quality Assurance
  • Client Consulting
  • Cross-Functional Delivery
  • Marketing Technology Roadmaps
  • Customer Engagement

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