Data Scientist Python/R Ex

AI Portfolio Manager / Technical Portfolio Lead

Position Summary

We are seeking an experienced AI Portfolio Manager / Technical Portfolio Lead to oversee and drive multiple strategic initiatives across AI, data, and software engineering domains. This role combines portfolio management, technical leadership, and stakeholder engagement, serving as the bridge between business objectives and technical execution.

The ideal candidate will manage a portfolio of projects simultaneously, provide technical guidance and coaching to delivery teams, and advise stakeholders on AI, cloud, and software development best practices. This position requires strong leadership skills, a deep understanding of emerging AI technologies, and the ability to translate complex technical concepts into business value.

Key Responsibilities

Portfolio & Program Leadership

• Manage and oversee multiple projects and strategic initiatives simultaneously.
• Define priorities, roadmaps, and execution strategies aligned with business objectives.
• Monitor portfolio performance, risks, dependencies, and resource allocation.
• Drive governance processes, status reporting, and executive-level communications.
• Utilize portfolio management and tracking tools such as Jira and similar platforms.

Technical Leadership & Coaching

• Serve as a technical advisor and coach for engineering, AI, and delivery teams.
• Provide guidance on solution architecture, development practices, and technology adoption.
• Mentor teams in implementing modern software engineering and AI best practices.
• Facilitate technical decision-making and align solutions with organizational goals.

AI & Technology Strategy

• Lead initiatives involving Generative AI technologies and Large Language Models (LLMs).
• Provide expertise in Retrieval-Augmented Generation (RAG) architectures and AI Agents.
• Drive adoption and deployment of AI-powered developer productivity tools, including Microsoft Copilot, Cursor, Claude Code, and Amazon Q.
• Evaluate emerging technologies and recommend strategies to maximize business value.

Delivery Excellence

• Promote Agile, DevOps, and traditional Waterfall methodologies where appropriate.
• Support CI/CD implementation and continuous improvement initiatives.
• Establish and monitor adoption, productivity, quality, and delivery metrics.
• Ensure successful execution of complex technical programs and transformations.

Stakeholder Management

• Build strong relationships with business leaders, technical teams, and executive stakeholders.
• Translate technical concepts into business-focused recommendations and outcomes.
• Facilitate alignment among diverse stakeholders and drive informed decision-making.
• Lead workshops, training sessions, and change adoption activities.

Required Technical Skills

• Generative AI and Large Language Models (LLMs).
• Retrieval-Augmented Generation (RAG).
• AI Agents and Agentic AI solutions.
• AI-powered code assistants: Microsoft Copilot, Cursor, Claude Code, Amazon Q.
• Enterprise deployment and adoption of AI solutions.
• Cloud platforms (AWS, Azure, or Google Cloud Platform).
• DevOps, CI/CD, and software delivery practices.
• Portfolio management and project tracking tools (Jira, Azure DevOps, or similar).
• Metrics and KPIs related to adoption, productivity, quality, and delivery performance.

Required Leadership & Soft Skills

• Portfolio and program management.
• Prioritization and strategic planning.
• Stakeholder management and executive presence.
• Strong written and verbal communication skills.
• Ability to translate business needs into technical solutions.
• Team facilitation, coaching, and mentoring.
• Cross-functional collaboration and influence without authority.
• Change management and organizational adoption leadership.

Preferred Qualifications

• Experience leading AI transformation initiatives in enterprise environments.
• Proven success managing multiple parallel programs and distributed teams.
• Experience working with executive stakeholders and senior leadership.
• Certifications in Project Portfolio Management, Agile, Cloud Platforms, or AI technologies are highly desirable.

Ideal Profile: A strategic portfolio leader with hands-on technical expertise who can manage multiple initiatives, coach engineering teams, influence executive stakeholders, and drive successful AI adoption across the organization.