1 day ago
Toronto, Canada +2 moreSenior
Responsibilities
- Lead client discovery sessions and architecture workshops with marketing, data, technology, and business stakeholders.
- Assess MarTech, CRM, customer data, cloud, analytics, consent, and activation ecosystems.
- Define future-state architectures, customer data models, identity-resolution strategies, segmentation approaches, and activation patterns.
- Architect solutions using Salesforce Data Cloud/Data 360, Agentforce, Adobe Experience Platform, Adobe Journey Optimizer, and related enterprise technologies.
- Translate marketing and customer-experience use cases into platform, data, integration, and AI requirements.
- Identify applications for predictive AI, generative AI, RAG, intelligent automation, and agentic workflows.
- Define integrations across CRM, loyalty, commerce, service, analytics, consent, and enterprise data environments.
- Develop MarTech strategies, roadmaps, capability models, solution options, and investment priorities.
- Provide architecture oversight during delivery and contribute to solution designs, implementation plans, testing strategies, and technical governance.
- Coach and mentor technical and functional team members while building MarTech, data, and AI capabilities.
Requirements
- 7+ years of experience across MarTech, CRM, customer data platforms, data architecture, or enterprise technology consulting.
- 3+ years of experience in customer-facing consulting, solution architecture, or enterprise architecture.
- Strong knowledge of customer data architecture, identity resolution, segmentation, consent, personalization, journey orchestration, and activation.
- Experience leading discovery workshops and translating business objectives into architecture and technology requirements.
- Hands-on or architecture-level experience with at least one major MarTech or customer data ecosystem, including Salesforce or Adobe platforms.
- Experience designing data flows and integrations across CRM, cloud platforms, data warehouses, APIs, analytics, and customer-engagement platforms.
- Knowledge of real-time and batch ingestion, data modeling, profile unification, audience management, and activation.
- Working knowledge of predictive AI, generative AI, RAG, search and indexing, prompt design, or agentic architectures.
- Ability to design scalable, secure, testable solutions and communicate architecture decisions to executives.
- Ability to collaborate across business, marketing, data, privacy, security, architecture, and engineering teams.
- English proficiency is required for regular interaction with stakeholders across Canada, the United States, and other countries.
- A minimum of a high school diploma or GED is required.
- Preferred qualifications include Salesforce, Adobe, cloud, data architecture, or AI certifications; experience with Salesforce Data Cloud/Data 360, Agentforce, Adobe Experience Platform, Adobe Journey Optimizer, Snowflake, Databricks, AWS, Azure, or Google Cloud; and experience with privacy, data governance, responsible AI, testing, and architecture tools.
- French-language capability is an asset, particularly for client work in Quebec.
Benefits
- Full-time employment with an annual salary range of $99,450 to $209,900 for roles located in British Columbia, Ontario, or New Brunswick.
- Benefits information is available through the employer's benefits resource.
- The position is a newly created role.
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.