2A Consulting

Data Engineer

• Build and maintain core data pipelines
• Enrich and model research data
• Build backend and data services
• Collaborate and translate requirements

Program Manager

• Manage day-to-day program activities—track milestones, tasks, and deliverables to ensure timely progress
• Support partner engagement programs and incubation initiatives
• Create and maintain executive-ready content, including slide decks, summaries, and messaging materials
• Organize meetings, document action items, and follow up to drive accountability
• Coordinate across stakeholders to gather, categorize, and maintain partner (ISV) information
• Provide regular updates and reports summarizing program status and partner engagement

Program Manager, Partner Ecosystem

Content Marketing Manager

• Draft product requirements, user stories, and documentation to guide design and development
• Plan and track project milestones to keep deliverables on course
• Build and test lightweight prototypes to explore and validate concepts
• Vibecode lightweight prototypes and refine prompts for AI-based interactions
• Experiment with and refine prompts for AI-based interactions
• Support user research by preparing studies, gathering feedback, and synthesizing insights
• Collaborate closely with research, design, and engineering teams to move projects from early exploration to pilot-ready tools
• Sit directly on the Microsoft Intelligent Platforms team to provide hands-on support during the engagement
• Participate in regular check-ins with 2A and your manager and engage in community and professional development opportunities provided by 2A

Product Manager, AI Prototyping – Content & Web Experiences

Project Manager

• Lead and manage the end-to-end lifecycle of internal documentation efforts for commercialization programs
• Partner with stakeholders to ensure internal websites accurately reflect ongoing work and outcomes
• Facilitate collaboration across teams to gather inputs, clarify goals, and align on documentation standards
• Develop and maintain "living case studies" that highlight commercialization journeys and ensure timely, accurate updates
• Identify and implement process improvements, including AI-driven tools, to streamline workflows
• Monitor data integrity and ensure project pages meet internal standards for clarity and accessibility
• Schedule and lead recurring check-ins with contributors to track progress and resolve blockers
• Sit embedded on the Microsoft Intelligent Platforms team to provide hands-on support

Data Engineer

Program Manager, Partner Ecosystem

Product Manager, AI Prototyping – Content & Web Experiences

Project Manager, Content Management and Documentation