OneMagnify

AI Engineer

• Lead, coach, and develop a small team of stakeholder-facing AI Governance and Adoption specialists
• Establish an engagement model, service catalog, playbooks, templates, service levels, quality standards, and escalation paths
• Set priorities and ensure delivery of clear, practical guidance supporting responsible AI implementation and adoption
• Support client stakeholders through formal reviews of AI applications, including business purpose, data use, technical design, legal considerations, security, operational readiness, human oversight, and ongoing monitoring
• Support periodic reviews and remediation activities proportionate to use-case risk and business impact
• Partner with data governance, privacy, security, legal, and technology teams to define and operationalize requirements for data classification, ownership, approved use, minimization, retention, and deletion
• Build credibility, create alignment, and move stakeholders toward decisions through prescriptive guidance and practical tradeoffs
• Maintain visibility into the AI use-case pipeline, approvals, adoption, exceptions, incidents, control effectiveness, stakeholder maturity, usage, and value realization
• Provide concise reporting and recommendations to leadership, including key risks, decisions, dependencies, and escalation needs
• Monitor evolving AI capabilities, platforms, risks, governance practices, standards, and regulations

Senior Lead, AI Governance

Project Manager

• Support delivery of multiple higher-complexity projects while balancing scope, schedule, budget, and quality
• Partner with clients to align expectations, manage changes, and focus work on agreed outcomes
• Translate program goals into executable plans for multidisciplinary teams
• Coordinate strategy, creative, analytics, engineering, and delivery teams
• Manage dependencies across workstreams and solution areas
• Facilitate project kickoffs and key working sessions
• Support project budgets, forecasts, invoicing, resource needs, and capacity planning
• Build and maintain project plans and timelines with Agile delivery teams
• Monitor project health and communicate progress to internal teams and client stakeholders
• Ensure work adheres to agreed scope and support thoughtful change
• Identify delivery risks and lead mitigation strategies
• Escalate issues and help teams resolve challenges
• Close projects with focus on quality, lessons learned, and continuous improvement