• Support Change and Configuration Management activities on the FAA ITIPSS I&O program • Maintain configuration baselines, process change requests, and support CCBs • Ensure compliance with established CM processes • Prepare CM-related documentation, reports, and process artifacts

Role Description What You'll Be Doing: - Workflow Immersion & Capacity Auditing: Shadow and study BA and PM workflows to build a precise map of where time is being spent — standup prep, status reporting, ticket creation, requirements drafting, cross-functional updates, documentation, and more. Quantify the time cost of each recurring task before deciding where to act. - Automation Engineering: Design and deploy automations that eliminate repetitive manual work: automated status summaries, AI-assisted requirements drafting, Jira/Confluence workflow triggers, meeting recaps, sprint reports, and handoff documentation. Every system you build should measurably return time to the team. - AI Tool Selection & Deployment: Leverage LLMs (Claude, GPT, Gemini), no-code tools (Workato, Zapier, n8n), and internal StackAdapt systems (Console, Ivy, Stackbots) to build intelligent agents and workflows. Evaluate new tools continuously and make fast, practical decisions about what to adopt. - Capacity Measurement & Reporting: Define and track capacity KPIs for the BA and PM teams. Report on time reclaimed, automation coverage, and workflow efficiency. Make the impact of your work visible and quantifiable to leadership. - Process Redesign: Work alongside BAs and PMs to redesign the underlying structure of recurring workflows — not just automate what exists, but challenge whether the process itself should exist in its current form. - Human-in-the-Loop Quality Design: Identify where AI outputs need human validation and build review checkpoints into automated workflows. Maintain quality standards while pushing automation boundaries. - Enablement & Change Management: Roll out new tools and workflows to the BA and PM teams. Train on adoption, gather feedback, and iterate. The system only works if the team uses it. Qualifications - 5+ years of experience in a Business Analyst, Operations Analyst, or Business Systems role, ideally in a high-growth technology company. - Hands-on experience building automations using tools like Workato, Zapier, Make (Integromat), n8n, or equivalent. You have shipped automations in production, not just designed them on paper. - Practical experience working with LLMs (Claude, ChatGPT, Gemini) to build workflows, agents, or AI-assisted tools. You know what these systems are good at and where they fail. - Comfort with lightweight technical work: reading and writing basic scripts (Python, JavaScript), querying data with SQL, configuring API integrations. You are not a full-stack developer, but you can get things working without waiting for an engineer. - Strong analytical instinct for separating high-leverage automation opportunities from low-ROI noise. You prioritize by impact, not by ease. - Familiarity with the BA/PM toolkit: Jira, Confluence, Smartsheets project tracking, requirements documentation, sprint planning. You understand the work you are automating. - Ability to translate technical designs into plain language for non-technical stakeholders, and to align engineers and executives on the same roadmap. Requirements - The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. - This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. - Factors Influencing Final Compensation: - The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. - Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. - Ontario Salary Band: $95,000 — $135,000 CAD Benefits - Highly competitive salary - Retirement/ 401K/ Pension Savings globally - Competitive Paid time off packages including birthday's off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books etc) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events!

Role Description The Business Data Analyst role is a unique combination of technical execution and internal customer relationship management. You will serve as a "context-shifter"—equally comfortable navigating complex SQL databases as you are advocating for the needs of our business partners. We are looking for a versatile professional who doesn't just pull data, but seeks to understand the "why" behind every metric to ensure our business objectives are met with precision. StackAdapt is a remote-first company. We are open to hire residents of Canada. What You'll Be Doing: - Stakeholder Partnership: Act as a customer-facing advocate for the business. You will lead discovery sessions to understand requirements, define key metrics, and draft Business Requirement Documents (BRDs). - Partner with RevOps, Marketing Ops, and CRM administrators to maintain data integrity across systems (e.g., Salesforce), including field-level metric population, account structure governance, and cross-system reconciliation. - CRM & Cross-functional Data Stewardship: Partner with RevOps, Marketing Ops, and CRM administrators to maintain data integrity across systems (e.g., Salesforce), including field-level metric population, account structure governance, and cross-system reconciliation. - Technical Execution: Execute project work and "hands-on-keyboard" development. This includes writing complex SQL queries, navigating disparate databases, and investigating data sets to find "the truth." - Requirement Translation: Bridge the gap between technical and non-technical teams by translating high-level business goals into actionable technical specifications. - Data Discovery & Troubleshooting: Serve as the first line of defense for troubleshooting data issues and fulfilling ad-hoc data requests to support immediate business needs. - Pipeline Foundation: In your first 3–6 months, you will focus heavily on building and optimizing data pipes to ensure a robust foundation for future analysis. Qualifications - Relational Database Proficiency: Deep comfort navigating unfamiliar RDBMS environments, including complex joins, schema exploration, data lineage investigation, and query optimization. Experience with cloud data warehouses such as Snowflake is a plus. - Exceptional Communication: Strong soft skills with a track record of translating technical concepts for executive-level stakeholders. - Versatility: The ability to "live in multiple contexts" and pivot quickly from deep technical work to strategic business meetings. - Technical Curiosity: You are proactive about personal projects and stay up-to-date with industry trends, including a high proficiency in using LLMs to accelerate workflows. - ETL/ELT Knowledge: Hands-on experience building and maintaining data pipelines. - LLM/AI Literacy: An appreciation for how data model design (e.g., star schemas, clear naming conventions) improves AI/ML system integration and reliability. - Python (Plus): Experience with Python for automation or advanced analysis is a nice-to-have. Requirements The compensation range listed for this role reflects the expected base salary for candidates located in Ontario, Canada. It is informed by market data and the approved budget for this position. StackAdapt maintains different compensation ranges for roles across other countries and regions, and final offers will be aligned to the candidate’s current location. - This range represents base salary only. Depending on the role, candidates may also be eligible for additional compensation such as annual bonuses, commissions, equity awards, and a comprehensive benefits package. - Factors Influencing Final Compensation: - The final compensation offer will be determined by a variety of factors, which may include, but are not limited to: the candidate's specific experience, technical skills, knowledge, abilities, and relevant education, licensure, and certifications. - Other business factors, such as organizational needs and budget alignment, may also be considered in the final offer. Benefits - Highly competitive salary - Retirement/401K/Pension Savings globally - Competitive Paid time off packages including birthdays off! - Access to a comprehensive mental health care program - Health benefits from day one of employment - Work from home reimbursements - Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto - Robust training and onboarding program - Coverage and support of personal development initiatives (conferences, courses, books, etc.) - Access to StackAdapt programmatic courses and certifications to support continuous learning - An awesome parental leave program - A friendly, welcoming, and supportive culture - Our social and team events!

Role Description We’re looking for a Data Governance Analyst to support our Product and Engineering teams with foundational data governance and compliance work. This is a hands-on, execution-focused role with strong collaboration and guidance, paired with enough autonomy for someone comfortable owning work and moving it forward independently. If you’re strong at writing clear documentation, building practical schemas, and keeping stakeholders informed, this could be a great fit. What You’ll Do - Draft and maintain data governance documentation, including policies, guidelines, and process documentation (initial drafts refined collaboratively). - Build and update data classification schemas and basic data standards. - Support data and AI compliance efforts by documenting requirements and maintaining internal records. - Partner with Product and Engineering teams to understand how data is used and accurately reflect that usage in governance artifacts. - Maintain governance inventories and registries (e.g., tools, data use cases, classifications). - Track open items, identify risks or gaps, and keep stakeholders informed to enable parallel progress. Qualifications - Strong writing skills with the ability to translate complex concepts into clear, usable documentation. - Experience or foundational knowledge of data governance, data compliance, or data management concepts. - Comfortable working independently while following direction and asking thoughtful questions. - Highly organized, dependable, and able to manage multiple workstreams. - Clear, proactive communicator who keeps stakeholders aligned and informed. - Interest in AI compliance and governance (experience is a plus but not required). Requirements - Exposure to data platforms or tools such as Databricks, DataHub, Soda, Cube, or similar. - Experience working with data catalogs, metadata, or internal registries. - Familiarity with privacy and compliance concepts such as GDPR and basic PII handling. Benefits This is a strong opportunity for an analyst who wants real ownership, practical experience, and room to grow. You’ll have guidance and context, but also the freedom to contribute meaningfully and help shape how data governance and AI compliance evolve within the organization.