Technical Architect Director - PubSec - Mulesoft

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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

Qualification for this job is contingent upon acceptable results from a background investigation and your obtaining and maintaining the specific level of U.S. Government security clearance required for this role. U.S. citizenship (U.S. born or naturalized) required.

Director Technical Consulting

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)

Strategic Advisory & Executive Alignment

● 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

Architecture Leadership

● 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

Delivery Oversight & Risk

● 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

AI-Augmented Delivery Leadership

● Set the standard for AI-augmented professional services delivery — embed AI tools (Claude

Code, Gemini, Lucid AI, NotebookLM) across the full engagement lifecycle to compress effort and

raise quality

● 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

Industry Thought Leadership (Agentic SaaS Future)

● 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

Delivery Leadership & Enablement

● 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

Governance & Handoff

● 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 platf