• Supporting the Project Manager, the Senior BSA will be responsible for engaging with the business to gather and document requirements. • Understand standard business processes, perform analysis, provide solution options, work with engineers to design implementation and support testing through project completion. • Will be deeply involved throughout the solution development lifecycle as the requirements subject matter expert and is expected to take personal responsibility and ownership for the requirements artifacts produced. • Perform all duties in accordance with the company’s policies and procedures, all US state and federal laws and regulations, wherein the company operates.

DescriptionTufin is standing up a governed, enterprise-scale AI program that spans ChatGPT, Claude, Workato eMCP, and a growing ecosystem of third-party AI applications. The AI System Architect is the most senior technical role in this program — the person who defines the architecture, enforces the governance model, and owns the integration surface that every AI agent in the company operates through. This role sits inside Enterprise Technology, reporting directly to the Head of Enterprise Technology. That placement is intentional. The AI System Architect is not a researcher, a prompt engineer, or a standalone AI strategist — they are an enterprise systems leader who happens to be building at the frontier of agentic AI. They own the AI integration strategy across Tufin's core platforms (Salesforce, NetSuite, Workato, HiBob, Jira), the MCP governance model, the persona-scoped token design, and the integration patterns that connect AI capabilities to those systems without creating point-to-point dependency risk. You will manage the AI Platform Engineer(s), set the technical standards for the AI Power User group's citizen development program, and serve as the connective tissue between business leadership, platform owners, and development teams. You will shape the multi-year AI architecture roadmap while also rolling up your sleeves to conduct architecture reviews, resolve blockers, and move use cases from concept to production. This is a role for someone who can think big and execute — and who understands that in an enterprise context, the quality of your governance is inseparable from the quality of your architecture. What You'll Own Strategy & Architecture - Define and own the enterprise AI integration strategy — identifying opportunities to embed intelligent automation, agentic workflows, predictive analytics, and generative AI capabilities across Tufin's core platforms - Develop and maintain reference architectures, design patterns, and the AI architecture decision log that governs how AI models connect to enterprise systems and what they are permitted to do - Consult on enterprise system architecture and implement best practices for the Enterprise Business Systems team to leverage in their day-to-day execution. - Lead Proof-of-Concept initiatives for new AI tools and platform-native AI features, evaluating them against build-vs-buy criteria before recommending adoption - Partner with business stakeholders to translate operational pain points into AI use cases with clear ROI framing and sequencing criteria - Contribute to Tufin's enterprise data strategy, ensuring AI initiatives are supported by clean, accessible, and well-governed data pipelines Integration Architecture & Delivery - Design and own the Workato eMCP layer — the MCP governance model, persona-scoped token framework, workspace isolation strategy, and the single sanctioned action surface through which all AI agents write back to enterprise systems - Define integration patterns and standards for AI model connectivity (Claude, ChatGPT) to Salesforce, NetSuite, HiBob, and Jira — specifying what agents can read, what they can write, through which surfaces, and with what confirmation and audit requirements - Design and oversee API strategies, event-driven architectures, and middleware patterns that support scalable AI feature delivery — including agentic workflows, intelligent data transformation, anomaly detection, and natural language interfaces layered onto ERP and CRM data - Collaborate with Engineering during build phases, conducting architecture reviews, providing hands-on guidance, and resolving complex technical blockers - Define non-functional requirements — latency, security, auditability, model drift monitoring — for AI components embedded in mission-critical business processes - Establish MLOps and LLMOps practices appropriate for Tufin's enterprise environment: model versioning, observability, and rollback procedures for production AI workloads Governance & Risk - Translate Tufin's AI governance framework into enforceable runtime controls: confirmation gates, role-scoped permissions, audit trails, and rate limiting across all production agents - Own the AI intake process — the structured gate through which new AI use cases, agent deployments, and integration requests are reviewed, approved, and sequenced - Lead AI impact assessments for enterprise use cases, accounting for data privacy, regulatory compliance (GDPR, SOC 2, and applicable industry mandates), and responsible AI principles - Partner with Tufin's Security and Compliance teams and AI Governance Committee to define guardrails for agents operating with write access to critical systems — including human-in-the-loop checkpoints and audit trail requirements - Define the promotion criteria that citizen-built recipes must meet before the AI Platform Engineer can approve them for production, and hold that bar consistently across all value streams - Monitor for shadow AI and unauthorized usage — and treat its presence as an architectural signal, not just a policy violation Team Leadership & Citizen Development - Manage and mentor the AI Platform Engineer(s) — setting technical direction, reviewing their work, and creating space for them to grow into the program's complexity - Set the technical standards and guardrails for the AI Power User group's citizen development program — defining what Power Users can build, on which platforms, with what approvals required before production promotion - Run architectural reviews for high-complexity citizen-built workflows and serve as the escalation point when the Platform Engineer identifies patterns outside established standards - Actively prevent shadow AI from taking root — not by blocking access, but by making the governed path so well-designed that it has no serious competition Strategic Technical Leadership - Advise the Head of Enterprise Technology on AI integration strategy, platform evolution, and technology decisions as the enterprise AI tooling market continues to shift rapidly - Evaluate and recommend third-party AI tooling, LLM providers, and platform-native AI features — maintaining awareness of MCP ecosystem developments, Workato's AI platform roadmap, and the capabilities of the AI models Tufin has deployed - Maintain documentation standards and AI architecture protocols that satisfy both engineering teams and enterprise architecture review processes - Contribute to Tufin's AI governance framework as a living document, revising and extending it as new agent capabilities, regulatory signals, and organizational needs emerge RequirementsWhat You Bring Required - 8+ years of experience in enterprise solutions architecture, systems integration, or a closely related discipline — with a strong track record of designing and delivering production-grade integration platforms at scale - Deep hands-on expertise with Workato or a comparable enterprise iPaaS platform (MuleSoft, Boomi, Azure Integration Services) — including workspace design, governance configuration, and operational management - Demonstrated experience building and integrating across CRM (Salesforce preferred), ERP (NetSuite preferred), and iPaaS platforms at the enterprise level — in production, not just proof-of-concept - Hands-on experience designing or deploying AI/ML features in production enterprise environments — including at least one of: agentic AI systems, LLM-powered workflows, predictive analytics, or intelligent document processing - Strong command of integration patterns: REST/GraphQL APIs, event streaming, ETL/ELT pipelines, webhook-based automation, and API security best practices - Experience designing and enforcing integration governance: access control models, audit logging, approval workflows, and token management - Familiarity with Model Context Protocol (MCP) or direct experience connecting AI models to enterprise systems in a production context - Proven ability to lead distributed technical teams and communicate architecture clearly to both executive sponsors and engineering teams — you can hold a technical standard without becoming a bottleneck - Experience with the requisite AI-related Audit Management frameworks (ISO42001, ISO27001, SOC 2, etc.) Preferred - Hands-on experience with Workato's AI Hub and/or eMCP enterprise connector offerings - Experience with vector databases, RAG (retrieval-augmented generation) architectures, or fine-tuning workflows in an enterprise data context - Working knowledge of AI governance frameworks (NIST AI RMF, EU AI Act considerations), privacy controls, and secure SDLC practices - Relevant certifications in cloud platforms (AWS, Azure, GCP) or enterprise platforms (Salesforce, NetSuite, Workato) - Experience designing citizen development programs — defining guardrails, review processes, and promotion criteria for non-engineer builders - Background in network security, cybersecurity, or compliance-adjacent enterprise environments — familiarity with Tufin's domain is a meaningful advantage - Experience in a regulated industry (financial services, healthcare, or manufacturing) where AI governance requirements are non-negotiable How You Lead - You design for the long run — your architectures are opinionated enough to prevent sprawl and flexible enough to absorb what comes next - You govern by making the right path easy, not by making the wrong path hard — the best control is one that people follow because it serves them - You can hold a technical position in a room of non-technical executives and explain why it matters without losing either the nuance or the audience - You review other people's work with the same rigor you apply to your own — and you give feedback that makes people better, not just feedback that makes things compliant - You treat shadow AI as a design failure, not a user problem — if the governed path isn't being used, that's an architectural signal worth investigating - You think big and execute — strategy and hands-on delivery are not separate modes for you - You flag risks early, document decisions thoroughly, and operate with the understanding that the choices you make now will be someone else's production system for years

Role Description At Agility PR Solutions, we’re continuing to evolve how we use data, systems, and AI to make smarter business decisions across the organization. We’re looking for a highly analytical and curious Business Operations Analyst to help turn company data into actionable insights. This role will support reporting, dashboards, operational analysis, commission administration, vendor reporting, and broader business intelligence initiatives across teams including Sales, Marketing, Customer Success, and Operations. This is an ideal role for someone who enjoys solving problems, finding patterns in data, building practical reporting solutions, and leveraging AI tools to work more efficiently. - Build and maintain dashboards and reporting across key business functions using tools such as Excel, Power BI, Tableau, Salesforce reporting, or similar platforms - Analyze company performance data across areas such as sales, pipeline generation, customer engagement, operational performance, and market perception - Support commission tracking and reporting processes with a high degree of accuracy and attention to detail - Manage and validate vendor reporting where accuracy and careful analysis are critical - Pull insights from platforms such as Salesforce, Pendo, G2, RepVue, Glassdoor, and other internal or external data sources - Identify trends, risks, opportunities, and operational inefficiencies through data analysis - Partner with leadership to support strategic decision making through reporting and insights - Help evaluate and implement practical AI-enabled workflows, tools, and automation opportunities - Create reporting processes that are scalable, efficient, and easy for teams to use without overengineering solutions - Support ad hoc analysis and special projects across the business Qualifications - 2–5 years of experience in business analysis, analytics, operations, revenue operations, finance, or a similar analytical role - Strong analytical and problem-solving skills with excellent attention to detail - Advanced Excel skills including formulas, pivots, lookups, data manipulation, and reporting - Experience with reporting and visualization tools such as Power BI, Tableau, Looker Studio, or similar platforms - Experience working with Salesforce reporting and data analysis - Comfort working with large datasets and translating findings into clear business insights - Strong curiosity and interest in AI tools and how they can improve business operations and workflows - Ability to balance accuracy and speed without overcomplicating processes - Strong communication skills with the ability to explain data clearly to non-technical stakeholders - Degree or diploma in Business, Finance, Economics, Analytics, Commerce, or a related field Requirements - Experience with Pendo, HubSpot, SQL, or BI tools - Exposure to SaaS or technology companies - Experience supporting commissions or incentive compensation processes - Familiarity with automation or AI tools such as Gemini, ChatGPT, Claude, or Copilot Benefits - Fully remote work environment - Collaborative culture – and key tools enabling it - Competitive compensation package - Health, Dental & Vision benefits - RRSP matching - Life Insurance - Employee Assistance Program (EAP) - Career Development & Progression opportunities - Paid Vacation, Personal Days and Sick days - Flex Fridays in Summer, Week off between Christmas and New Years' - No Internal Meetings Fridays

• Lead the strategic development and execution of highly scalable programs across multiple jurisdictions, effectively communicating outcomes and insights to senior leadership. • Build and maintain program management frameworks that ensure measurable outcomes, sustainable operations, and readiness to meet evolving legal requirements while ensuring Airbnb’s obligations are met with excellence. • Translate emerging regulatory trends, data, and cross-functional inputs into actionable business strategies for senior leadership. • Influence cross-functional roadmaps and corporate strategy through deep expertise in regulatory frameworks. • Drive high-impact strategic projects aimed at enhancing efficiency and effectiveness while also aligning with broader business goals. • Analyze data to identify trends, surface anomalies, and perform the necessary investigation