Ai Business Analyst Jobs

Role: AI Business Analyst

Location Denver, CO/Remote MST hours

Duration : Long term

Position Overview: As a Business Analyst specializing in Artificial Intelligence (AI) within the healthcare industry, your role is crucial in bridging the gap between technical teams and business stakeholders. You will be instrumental in driving innovation and leveraging AI technologies to enhance healthcare delivery, improve patient outcomes, and optimize operational processes. You will be responsible for understanding the needs of the organization, identifying opportunities for leveraging AI technologies, and translating those requirements into actionable insights and recommendations. By analysing business processes and data, you will help drive strategic decision-making and ensure successful integration of AI into healthcare workflows and decision-making processes.

Key Responsibilities:

1.Requirement Gathering and Analysis:

• Collaborate with business stakeholders to identify and document their requirements related to AI initiatives.
• Translate business requirements into technical specifications for AI development teams.
• Conduct thorough analysis of existing business processes, systems, and data to identify areas for improvement and optimization using AI.

2.AI Strategy and Roadmap Development:

• Work closely with senior management to define the organization's AI strategy, goals, and objectives.
• Stay up to date with the latest AI trends, technologies, and best practices to ensure the organization remains competitive in the market.
• Identify AI use cases and develop a roadmap for AI implementation, considering feasibility, resource requirements, and potential business impact.

3.Data Analysis and Modeling Collaboration with Data Scientists and Data Engineers as they:

• Ensure proper data governance, data quality, and adherence to privacy regulations such as HIPAA.
• Analyze large datasets to extract meaningful insights and patterns using statistical techniques and machine learning algorithms.
• Perform testing and validation of AI models to ensure accuracy and reliability.
• Develop AI models and algorithms that align with business objectives.

4.Stakeholder Communication:

• Communicate effectively with both technical and non-technical stakeholders, translating complex AI concepts into clear and actionable insights.
• Facilitate workshops, meetings, and training sessions to promote AI understanding and adoption within the organization.
• Present findings, recommendations, and progress updates to senior management and project teams.

5.Project Management and Implementation:

• Monitor and evaluate the performance of deployed AI solutions, identifying areas for optimization and continuous improvement.
• Define key performance indicators (KPIs) and metrics to measure the success of AI initiatives.
• Collaborate with cross-functional teams to ensure smooth implementation of AI projects, including planning, resource allocation, and monitoring progress.

Qualifications:

• Knowledge of healthcare regulations and privacy standards, such as HIPAA.
• Strong analytical thinking and problem-solving abilities.
• Prior experience in the healthcare industry or healthcare IT projects is highly desirable.
• Excellent communication and presentation skills, with the ability to communicate complex concepts to both technical and non-technical stakeholders.
• Project management skills, with the ability to handle multiple projects simultaneously and meet deadlines.
• 5+ years of experience as a Business Analyst
• Proficiency in programming languages commonly used in AI, such as Python, R or SQL.
• Experience in gathering business requirements, conducting process analysis, and translating them into technical specifications.
• Ability to work independently, collaborate with cross-functional teams, and engage with business stakeholders to identify and implement solutions.
• Familiarity with healthcare systems, clinical workflows, and electronic health records.
• Bachelor's or Master's degree in a relevant field such as computer science, data science, business analytics, or a related discipline.
• Strong understanding of AI concepts, machine learning algorithms, and statistical analysis techniques, preferable as applied to healthcare data.
• Familiarity with AI frameworks, libraries, and platforms.