Director, Marketing Technology Consulting

Hybrid
Posted Oct 8, 2026
1 position

$135,000–$185,000 / year

Opens an external site

Employment type: Full-time
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week

Job summary

The Director will lead the design, implementation, and optimization of marketing technology ecosystems to drive customer loyalty and engagement. They will manage mid-to-large consulting engagements while collaborating with cross-functional teams to translate business objectives into actionable technical plans.

Job details

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. * 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. 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. 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.

What you’ll do

Requirements

Candidates must have 8+ years of hands-on experience in loyalty or martech platforms, including implementation and operations. Strong expertise in customer data, integrations, and client-facing consulting is required, along with the ability to work in Mountain or Pacific time zones.