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Job Category Customer Success Job Details

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life.

The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place!

Agentforce is the future of AI, and you are the future of Salesforce.

Director Technical Consulting- Mulesoft

Security Clearance: This position requires the ability to obtain and maintain a Canadian Government Security Clearance. Candidates must be Canadian citizens — permanent residents are not eligible for this clearance level. Candidates are not required to hold an active clearance at the time of application or interview; however, the successful candidate must be a Canadian citizen and eligible to obtain clearance as a condition of employment.

Reliability Clearance: Requires providing 5 years of verifiable work and residence history, generally from within Canada Secret Clearance: Requires providing 10 years of verifiable work and residence history, generally from within Canada

About Salesforce &

Role Summary The Director, Data Foundation Delivery is a senior leader who owns the strategy, architecture, and successful delivery of enterprise Data Foundation engagements for Salesforce Professional Services customers. Drawing on 15+ years of deep data experience, you set the technical vision, advise customer executives at the CxO level, and lead the delivery of a governed, AI-ready data foundation across a progressive, customer-calibrated maturity journey. You are the definitive authority on bringing the Data Foundation Delivery to life including core data capabilities, associated frameworks, and ability to operate across one or more of the platform stack (Salesforce Data 360, Informatica IDMC, MuleSoft). As a Salesforce leader, you help customers bring the Salesforce ecosystem into the broader landscape of technology investments they have already made — directing both platform-agnostic execution (interoperable, open-standards, multi-vendor) and platform-centric execution (Salesforce-native), so thedata foundation fits the customer's reality rather than forcing a single stack. Every foundation is built with governance, quality, security, and privacy embedded from day one, and serves both traditional analytics for people and agentic AI for machines. Above all, you champion AI-based professional services delivery: you set the standard for how engagements use AI tools like (Claude Code, Gemini, Lucid AI, NotebookLM) to compress delivery effort while raising quality and consistency, and you author the reusable IP — prompt templates, skills, and agents — that scales delivery. You are an industry thought leader who shapes the practice's point of view on the agentic future of the SaaS industry, translating where enterprise data, AI agents, and the SaaS ecosystem are heading into how we advise and deliver for customers today. This is a customer-billable delivery role — a senior individual contributor accountable for engagement outcomes and hands-on technical leadership, not an internal people-management position.

What You Will Do (Key Responsibilities)

Serve as trusted advisor to customer CxOs; shape data strategy and the business case

Own executive discovery, maturity assessment, and the phased, customer‑calibrated roadmap

Frame guidance as adaptable options, meeting customers at their entry point (customer‑360, regulatory governance, analytics modernization, unstructured/RAG)

Represent the practice in the most complex, high‑stakes engagements

Set target‑state architecture across Data 360 / Informatica IDMC / MuleSoft

Balance platform‑agnostic and platform‑centric execution — position Salesforce as the center of gravity while integrating cleanly with the customer's existing multi‑vendor technology investments (data platforms, warehouses, lakes, and tools)

Approve architecture decisions; validate through scoped POCs before production build

Ensure value is delivered every phase (no big‑bang), with governance‑first discipline

Guarantee dual‑consumption design: analytics for people and agentic AI for machines





Provide architectural governance and quality assurance across concurrent engagements

Own delivery risk: exec buy‑in, business engagement, scope, and dependency management

Ensure security, privacy, and governance controls are embedded from the start

Define the practice's approach to capability‑driven (not tool‑centric) reusable assets — prompt templates, skills, and agents that any consultant can run to deliver a capability

Establish measurable AI‑acceleration targets and quality guardrails; institutionalize what works into the playbook

Ensure human‑at‑the‑helm governance so AI‑accelerated delivery stays trusted, auditable, and grounded

Own the practice's point of view on the agentic future of the SaaS industry — where enterprise data, AI agents, and the SaaS ecosystem are heading, and what it means for customers

Translate that vision into how we advise and deliver: reference architectures, POVs, and forward‑looking roadmaps for AI‑ready, agent‑native data foundations

Represent the practice externally and internally — publish POVs, brief executives, and shape the market conversation

Bring experience‑based thought leadership into engagements, positioning customers ahead of the agentic shift

Author and evolve the Data Foundation Delivery Playbook, accelerators, and reference IP

Provide hands‑on technical leadership to the engagement delivery team; guide Senior Advisors, Architects, and Consultants on the account

Establish stewardship, RACI, and sustainable customer operating models

Ensure executive‑ready summaries accompany deep technical detail on every engagement

What You Bring (Preferred Experience)

Unified Identity & Harmonization — identity resolution, match/merge, golden records

Master Data Management — domains, survivorship, hierarchies, 360 views

Unstructured Data Management — document ingestion, chunking, embeddings, RAG grounding

Data Architecture & Semantic Modeling — conceptual/logical/physical models, semantic layer, glossary

Data Integration, Orchestration & Activation — API‑led connectivity, CDC, real‑time events, activation

Data Trust, Security & Privacy — classification, access control, masking, Einstein Trust Layer

Data Governance & Stewardship — catalog, lineage, data quality, stewardship & policy

Industry Data Models & Accelerators — FSC, Health Cloud, Manufacturing Cloud blueprints

Data Platform & Infrastructure — lakehouse, compute, catalog, cloud foundation

Analytics, BI & Data Observability — dashboards, self‑service BI, freshness/quality monitoring

Required Qualifications

15+ years of deep, hands‑on data experience across data architecture, engineering, MDM, integration, and governance

Demonstrated leadership of enterprise‑scale data platform and AI‑readiness programs

Deep expertise across one or more of Salesforce Data 360, Informatica IDMC, MuleSoft

Authority‑level data modeling and semantic/metadata modeling

Strong command of data governance, quality, security, and privacy (e.g., GDPR/CCPA/HIPAA)

Proven CxO‑level advisory and the ability to lead multi‑workstream delivery

Track record integrating a vendor platform into complex, heterogeneous enterprise landscapes — balancing platform‑agnostic (open‑standards, multi‑vendor) and platform‑centric (Salesforce‑native) approaches

Deep fluency leading AI‑augmented delivery — using AI tools as a core part of the workflow and building reusable prompt/skill/agent assets

Recognized industry thought leadership on enterprise data, AI, and the agentic future of SaaS (POVs, speaking, published perspectives)

Preferred Certifications

Salesforce Data Cloud Consultant

Salesforce Certified Data Architect

Salesforce Agentforce Specialist

Salesforce Certified Integration Architect

TOGAF

Additional Pluses

Informatica IDMC / MDM certification

MuleSoft Certified Integration Architect

DAMA CDMP or CDMC (data management / cloud data management)

Preferred / Differentiating Strengths

Track record delivering agentic AI / RAG on a governed data foundation

Deep industry expertise in Financial Services, Healthcare, or Manufacturing

History of building delivery IP, accelerators, and prompt/skill/agent libraries

Extensive Professional Services / customer‑facing leadership at enterprise scale

How Success Is Measured (First 12 Months)





Certification Attainment: Complete required certifications to be compliant and ready for customer engagements

Customer Impact: Complete RAMP quickly to be billable and execute one or more customer engagement

Architecture standard: consistent, governed, dual‑purpose foundations delivered across the portfolio

Business outcomes: clear business (not just technical) value realized and adopted

AI‑augmented delivery: measurable acceleration and quality gains from AI tooling, with reusable prompt/skill/agent assets adopted team‑wide

Thought leadership: a defined, published practice POV on the agentic SaaS future that shapes customer engagements and market positioning

Enablement: delivery teams on your engagements ramped and productive through your technical leadership and reusable assets

Cloud/Platform Requirements

In addition to the above. 8 - 10 years experience supporting customers using Mulesoft(required).

Experience with deep MuleSoft Anypoint Platform expertise Robust understanding of how MuleSoft solves business problems: API‑led connectivity: Three‑layer architecture enabling reusability and agility Integration patterns: Real‑time sync, batch processing, event‑driven architectures API Management: Governance, security policies, rate limiting Deployment options: CloudHub vs Runtime Fabric - when to use each Knowledge of MuleSoft + Salesforce integration (Salesforce Connector, Composer, Data Cloud) Understanding of when to engage technical resources for complex integrations Understanding of integration patterns with enterprise systems (SAP, Oracle, Workday, ServiceNow) Familiarity with MuleSoft RPA capabilities Multiple MuleSoft certifications (Developer + Integration Architect Associate)

Preferred Qualifications

Preferred Qualifications: Bachelor’s degree (or its foreign degree equivalent) in Computer Science, Engineering (any field), or a related quantitative discipline. Equivalent demonstrable work experience in lieu of a degree will be considered Ability to convey and convince customers of best practices at various levels within a large organization Application design and development background Have CTA certification or are in the process of getting the CTA Experience managing large full life‑cycle Salesforce Implementations Executive Presence - being able to influence outcomes Strong understanding of SDLC methodologies (Agile, SCRUM) Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best.

Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

📌 Technical Architect Director - PubSec - Mulesoft Canada (Toronto)
🏢 110 salesforce.com Canada
📍 Toronto