Platform and Gen AI Specialist

33rd Talent Corporation•Denver, CO

14h•Onsite

About The Position

The Ventures Platform and Gen AI Specialist role is a critical member of Gary Community Ventures' ventures team, supporting our rapid-cycle approach to building breakthrough solutions for Colorado kids and families. This role bridges data analysis, systems architecture, and operational implementation across multiple concurrent projects at different stages, from prototype to scale. You'll be the team's systems integrator, responsible for identifying, configuring, and connecting the platforms that drive our pilots and internal operations. This is a hands-on position requiring equal parts technical systems expertise, analytical thinking, operational problem-solving, and a forward-looking approach to AI integration. You'll regularly work with sensitive family data (income information, benefit eligibility, personal identifying information (PII), and program participation records), making data security and privacy protection fundamental to this role.

Requirements

Two or more years of experience researching, selecting, and implementing platforms like Hubspot, Supabase, Zapier, Airtable, or similar (experience in multiple preferred), with demonstrated ability to identify efficiency opportunities through strategic tool selection
Two or more years of experience using Gen AI tools (OpenAI API, Claude, Gemini, or AI features within SaaS platforms)
Experience managing sensitive data and understanding of data privacy principles, security best practices, and security implications of AI models
Track record of implementing access controls, data governance procedures, and secure system configurations
Strong data analysis skills - comfortable with Excel/Google Sheets, basic statistics, and data visualization
Proven ability to build workflow automations and system integrations (APIs, n8n, Zapier, etc.)
Clear communicator who can translate technical concepts for non-technical stakeholders
Comfortable with ambiguity and rapid iteration - our ventures fail frequently and that's by design
Bachelor's degree in Data Science, Information Systems, Business Administration, Computer Science, or related field OR equivalent combination of education and relevant work experience

Nice To Haves

Knowledge of HIPAA, FERPA, or other data privacy regulations
Experience with secure file transfer protocols and encryption methods
Experience in nonprofit, social impact, or pilot program environments handling vulnerable populations' data
SQL or other database query experience

Responsibilities

Systems and Platform Management (40%)
Research, evaluate, and recommend new platforms and tools that enhance team efficiency
Design and implement advanced workflows in Hubspot, n8n and other similar platforms
Build secure integrations between tools to create seamless data flows across projects
Set up and configure systems for new ventures with appropriate access controls and security protocols, often on rapid timelines (2-3 week shallow investigations, 3-month prototypes)
Implement and maintain data security measures across all platforms, including user permissions, data encryption, and secure data transfer protocols
Troubleshoot technical issues and optimize platform configurations for team efficiency
Maintain and document system architectures and data handling procedures as ventures evolve
Ensure compliance with data privacy regulations and Gary's data governance policies
Data Analysis and Program Evaluation (30%)
Design data collection approaches that balance analytical rigor with customer experience and data minimization principles
Pull and prepare data for weekly team meetings and decision points
Analyze prototype and pilot data to validate/invalidate hypotheses
Create dashboards and visualizations that enable rapid interpretation of results
Conduct customer interview analysis and qualitative data synthesis
Operational Support (10%)
Support Gary team members in leveraging modern tools (AI or otherwise) effectively and securely for their projects
Create documentation and train team members on secure data practices and other considerations in integrating modern platforms into their work
Generative AI Integration and Innovation (20%)
Identify and prototype Gen AI use cases to accelerate venture learning cycles
Implement AI-driven automation within existing and new platforms to reduce manual data entry
Develop “AI-ready” data structures that allow for the safe and effective use of LLM models on internal Ventures data
Evaluate AI tool security, specifically regarding how third-party LLMs handle sensitive PII and ensure alignment with Gary’s privacy standards.