Role: Senior Technology Manager
Duration: 3- 6 Months (Contract to perm)
Work Mode: Remote

Position Summary:

We are seeking a highly experienced Senior Technology Manager to lead the Finance Technology AI Enablement engineering team. In this role, you will be responsible for architecting and building best-in-class AI solutions while enabling business and IT partners in their AI adoption journey.

You will provide strategic direction to the engineering team, champion engineering best practices, and drive the end-to-end delivery and enablement of AI solutions across the enterprise. The Finance Technology AI Enablement team helps the business strategize, evaluate, define, and prioritize complex enterprise initiatives—designing and building them into AI-enabled, transformative solutions.

This role requires building strong relationships with business stakeholders and domain-specific IT application development teams, working collaboratively to advance AI-driven transformation and deliver measurable results. You will oversee and execute multiple concurrent AI initiatives, delivering value across various business domains in a fast-paced, dynamic environment.

Key Responsibilities

• Team Leadership: Lead, mentor, and grow a high-performing engineering team focused on AI/ML and GenAI solution delivery.
• Technical Strategy: Set strategic technical direction for the AI Enablement team, advocating for engineering best practices, scalable architecture, and responsible AI development.
• Strategic Partnership: Partner with business leaders and domain-specific IT teams to translate business requirements into actionable technical roadmaps and solutions.
• End-to-End Delivery: Oversee end-to-end delivery of multiple concurrent AI initiatives, from ideation through production deployment and adoption.
• AI/ML Development: Drive the design and development of AI/ML and GenAI solutions.
• Low-Code/No-Code & Automation: Champion the use of low-code/no-code platforms (e.g., Microsoft Copilot Studio, Power Automate) and Claude Skills alongside traditional full-stack development to accelerate solution delivery.
• DevOps & Governance: Establish and enforce DevOps, CI/CD, and data governance practices to ensure reliable, secure, and compliant delivery.
• Regulatory Compliance: Operate within a regulated enterprise environment, ensuring solutions align with formal architecture, security, privacy, audit, and enterprise governance standards.
• AI Advisory: Act as a trusted advisor to business and IT partners on AI adoption strategy, use case evaluation, and solutioning.
• Cross-Functional Collaboration: Build and maintain strong cross-functional relationships, fostering collaboration between engineering, business, and governance stakeholders.
• Executive Reporting: Report on program progress, risks, and value delivered to senior leadership.

Qualifications

Required Qualifications

• People Leadership: 8+ years of people management experience, including building, leading, and developing high-performing engineering teams.
• Software Engineering: 5+ years of hands-on software development experience in cloud and distributed environments using modern technology stacks.
• AI/ML & GenAI: Demonstrated experience building AI/ML solutions, including exposure to GPT/Gemini/Claude LLM models, Vertex AI, RAG, GenAI, agentic AI workflows, and orchestration.
• Core Technical Stack: Proficiency in Python and full-stack development, including designing and building APIs.
• Cloud & Infrastructure: Hands-on experience with cloud platforms (Azure, Google Cloud Platform) and container orchestration using Kubernetes.
• Vector Databases: Experience working with vector databases in support of AI/ML and GenAI solutions.
• AI Platforms: Experience with major cloud AI/ML platforms (e.g., Google Cloud Vertex AI, Azure OpenAI, AWS Bedrock).
• Data & Automation: Strong proficiency in SQL, data analytics, and automation.
• DevOps: Proven experience with DevOps practices and CI/CD pipelines.
• Communication & Engagement: Excellent communication and interpersonal skills, with a demonstrated ability to engage effectively with business leaders and translate business requirements into actionable technical plans.
• Enterprise Environment: Experience operating within a regulated enterprise environment, including familiarity with formal architecture, security, privacy, audit, and governance processes.
• Program Management: Strong strategic thinking and program management skills, with the ability to manage multiple concurrent initiatives in a fast-paced environment.

Preferred Qualifications

• Domain Expertise: Experience within Finance or a similar regulated financial services function.
• AI Center of Excellence: Prior experience establishing or scaling an AI Enablement, AI Center of Excellence, or similar function.
• Agentic Frameworks: Experience with agentic AI frameworks and orchestration tools.
• Rapid Enablement Patterns: Experience building and scaling low-code/no-code AI solutions (Copilot Studio agents, Power Automate flows, Claude Skills) as an enablement pattern for business and IT partners.
• Advanced Data Architectures: Experience designing or implementing semantic context layer using vector database and/or knowledge graph architectures to support GenAI and RAG solutions.
• Responsible AI: Familiarity with enterprise AI and Data governance, and responsible AI frameworks.
• Executive Presence: Experience presenting to and influencing executive-level stakeholders.
• Change Management: Track record of driving organizational change and technology adoption at scale.

Education

• Bachelor or higher degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.