16 Oct
|
Salesforce Partner Canada
|
Toronto
16 Oct
Salesforce Partner Canada
Toronto
Director Technical Consulting- MulesoftData Governance & Stewardship — catalog, lineage, data quality, stewardship & policyInformatica IDMC / MDM certificationSecurity 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 successfulcandidate 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 CanadaSecret Clearance: Requires providing 10 years of verifiable work and residence history, generally from within CanadaAbout Salesforce & Role SummaryThe Director, Data Foundation Delivery is a senior leader who owns the strategy, architecture, and successful delivery of enterprise Data Foundation engagements for Salesforce Skilled Services customers. Drawing on 15+ years of deep data experience, you set the technical vision, advise customer executives at the Cx O 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, Mule Soft).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 the data 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, Notebook LM) 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 Saa S industry, translating where enterprise data, AI agents, and the Saa S 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)Strategic Advisory & Executive AlignmentServe as trusted advisor to customer Cx Os; shape data strategy andthe business caseOwn executive discovery, maturity assessment, and the phased, customer‑calibrated roadmapFrame 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 engagementsArchitecture LeadershipSet target‑state architecture across Data 360 / Informatica IDMC / Mule SoftBalance 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 scopedPOCs before production buildEnsure value is delivered every phase (no big‑bang), with governance‑first disciplineGuarantee dual‑consumption design: analytics for people and agentic AI for machinesDelivery Oversight & RiskProvide architectural governance and quality assurance across concurrent engagementsOwn delivery risk: exec buy‑in, business engagement, scope, and dependency managementEnsure security, privacy, and governance controls are embedded from the startAI‑Augmented Delivery LeadershipSet the standard for AI‑augmented professional services delivery — embed AI tools (Claude Code, Gemini, Lucid AI, Notebook LM) across the full engagement lifecycle to compress effort and raise qualityDefine 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 capabilityEstablish measurable AI‑acceleration targets and quality guardrails; institutionalize what works into the playbookEnsure human‑at‑the‑helm governance so AI‑accelerated delivery stays trusted, auditable, and groundedIndustry Thought Leadership (Agentic Saa S Future)Own the practice’s point of view on the agentic future of the Saa S industry — where enterprise data, AI agents, and the Saa S ecosystem are heading, and what it means for customersTranslate that vision into how we advise and deliver: reference architectures, POVs, and forward‑looking roadmaps for AI‑ready, agent‑native data foundationsRepresent the practice externally and internally — publish POVs, brief executives, and shape the market conversationBring experience‑based thought leadership into engagements, positioning customers ahead of the agentic shiftDelivery Leadership & EnablementAuthor and evolve the Data Foundation Delivery Playbook, accelerators, and reference IPProvide hands‑on technical leadership to the engagement delivery team; guide Senior Advisors, Architects, and Consultants on the
📌 Technical Architect Director - Pubsec - Mulesoft Canada (Toronto)
🏢 Salesforce Partner Canada
📍 Toronto