- Company Name
- Mission Staffing
- Job Title
- AI Technology Solutions Business Analyst
- Job Description
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Job Title: AI Technology Solutions Business Analyst
Role Summary:
Design, prototype, and deploy AI‑enabled internal tools that enhance investment and operational workflows across an asset‑management organization. Act as the liaison among business stakeholders, data teams, and engineering to transform business problems into scalable technology solutions.
Expectations:
- Deliver end‑to‑end solutions from concept through MVP to production.
- Drive adoption of AI‑powered tools across the organization.
- Maintain a deep understanding of investment operations while applying cutting‑edge AI technologies.
Key Responsibilities:
- Partner with business units to identify AI, automation, and workflow optimization opportunities.
- Rapidly prototype MVP applications using Microsoft Power Platform, Copilot Studio, Azure AI services, SQL, and APIs.
- Build AI copilots, assistants, and automated workflows; integrate with Bloomberg, FactSet, and other data sources.
- Translate business requirements into scalable technology solutions and collaborate with developers and engineering to move prototypes into production.
- Support rollout, training, and adoption of new AI‑enabled tools across the firm.
Required Skills:
- 5–8 years of experience delivering internal business tools, automation, or data‑driven solutions.
- Proficiency with Generative AI platforms (OpenAI, Azure OpenAI, Copilot Studio, Claude, etc.).
- Hands‑on experience building or prototyping solutions with Microsoft Power Platform, SQL, REST APIs, and similar tools.
- Ability to bridge business, data, and engineering teams and manage the end‑to‑end solution lifecycle.
- Strong analytical, problem‑solving, and communication skills.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, Finance, or a related field.
- Relevant certifications preferred (e.g., Microsoft Power Platform, Azure AI, data platform credentials such as Snowflake or Databricks).
New york city, United states
Hybrid
Mid level
12-03-2026