Senior ai Enablement Lead H/F Swan

Swan is building the future of embedded banking-and AI is central to how we'll scale efficiently while maintaining the reliability and compliance our partners expect. We're looking for a Senior AI Enablement Lead to drive generative AI adoption across Swan's business functions (Finance, Operations, Sales, Marketing, Risk, Legal) and deliver measurable productivity improvements.

Reporting to the AI Operations Team Manager, you'll play a hands-on role identifying high-value automation opportunities, designing AI-powered workflows, and driving adoption across the company. As Swan's expert in business AI and automation, you'll partner with teams across the business to unlock real efficiency gains while ensuring compliance, security, and reliability standards are met.

This is an execution-focused role where success is measured by tangible ROI: cost reduction, time savings, accuracy improvements, and sustained adoption.

What You'll Do

1. AI Platform Setup & Enablement

- Maintain and evolve Swan's AI orchestration platform (n8n, Dust, LangSmith, LangChain) in partnership with Engineering, Security, IT, and Data teams
- Define guardrails, monitoring standards, and escalation paths for AI workflows-especially those touching financial data or customer PII
- Establish clear handoff criteria for when prototypes must transition to production-grade engineering implementations
- Partner with Security and Legal to ensure all AI workflows comply with GDPR, PSD2, PCI DSS, and Swan's data governance policies

2. Business Partnering & Workflow Design

- Collaborate with Finance, Operations, Sales, Marketing, Risk, and Legal teams to identify high-value automation opportunities aligned with Swan's profitability goals
- Design and prototype AI-driven workflows using low-code tools and prompt engineering-rapid iteration to validate business value
- Partner with Engineering/Data teams to build production-grade implementations for high-impact, high-risk workflows
- Build reusable templates, playbooks, and workflow patterns to accelerate future automation

3. Financial Services Compliance & Risk

- Implement mandatory compliance checks for AI workflows touching customer data, financial transactions, KYC/AML processes, or regulatory reporting
- Establish human-in-the-loop requirements for high-risk decisions (fraud flagging, account suspensions, billing adjustments)
- Create comprehensive audit logging for AI decisions affecting financial or compliance outcomes
- Define error tolerance thresholds (e.g., zero tolerance for billing/payment errors) and incident response procedures

4. Performance Monitoring & ROI

- Define and track adoption and ROI metrics: cost per account reduction, time saved, error rate improvement, automation reliability, business impact
- Set up performance dashboards and feedback loops to continuously improve workflows
- Deliver quarterly business reviews with COO and function leaders showing measurable impact
- Target: 3:1 ROI on AI tooling investment within H1 2026

5. Governance, Security & Guidelines

- Develop and communicate AI usage guidelines working closely with Legal, Compliance, Security, and DPO
- Establish security guardrails: prompt injection prevention, PII redaction, data leakage protection
- Define clear policies on data handling, retention, and right-to-explanation for AI decisions
- Ensure all production AI workflows meet Swan's reliability standards (99.9%+ uptime, monitoring, alerting)

6. Adoption & Change Management

- Lead AI enablement initiatives: training sessions, workshops, AI champion communities across business functions
- Create internal content (guides, tutorials, showcases) to scale AI fluency across Swan
- Act as internal evangelist for AI, building coalitions and securing executive sponsorship
- Measure success by sustained behavior change, not just training attendance-target 70%+ weekly active usage