IT Business Analyst

HMG AMERICA LLC is seeking an IT Business Analyst to lead AI initiatives within their organization. The role involves planning and executing AI-enabled software solutions, collaborating with stakeholders to define business and data requirements, and ensuring compliance with internal governance processes.

Responsibilities:

• Serve as primary contact to the business for the support and development of AI-enabled and data-driven solutions delivered by internal teams and external vendors
• Manage business and functional requirements for one or more solutions related to Ad Sales, Research, and Digital operations, with a focus on AI/ML use cases (e.g., forecasting, pricing optimization, audience targeting)
• Partner with stakeholders to identify and prioritize opportunities where AI can drive business value
• Translate business needs into detailed functional, data, and analytical requirements, including definition of inputs, outputs, and success criteria
• Facilitate requirement gathering sessions, design workshops, and model validation discussions across business and technical teams
• Work closely with data scientists and engineers to support the design and implementation of AI solutions
• Coordinate testing activities, including user acceptance testing (UAT), ensuring outputs are accurate, interpretable, and aligned with business expectations
• Deliver support to end users on how to effectively use AI-enabled tools and insights in their daily workflows
• Monitor solution performance and support continuous improvement by identifying issues related to data quality, model outputs, or adoption
• Manage relationships with business organizations, global technology teams, and third-party vendors, including reviewing deliverables, timelines, and quality of outputs
• Prioritize enhancement requests alongside other change requests to improve system performance and business outcomes
• Ensure compliance with Software Development Lifecycle documentation and mandated regulatory and audit requirements
• Assist in the design and delivery of training materials and user documentation
• Participate in feasibility studies and evaluation of new AI technologies and vendor solutions
• Work independently under minimal supervision

Requirements:

• Bachelor s degree in Information Systems, Computer Science, Business Administration, Data Analytics, or equivalent degree/work experience
• Minimum of 3 5 years experience with mid to large-scale software development or data-driven projects
• Experience supporting technology solutions within a Media or Digital industry organization
• Strong prioritization and organizational skills
• Strong presentation and communication skills; ability to interface with stakeholders at all levels of the organization
• Strong project management skills
• Excellent problem solving and analytical skills
• Excellent interpersonal skills, including negotiation and conflict resolution
• Ability to manage multiple initiatives simultaneously with minimal supervision
• Proven ability to operate effectively within a fast-paced, matrixed environment
• Must have the legal right to work in Italy
• Practical understanding of AI/ML concepts and their business application, including predictive modeling, optimization, and recommendation systems
• Ability to translate business problems into structured AI/data use cases, including defining features, inputs/outputs, and success metrics
• Familiarity with the AI/ML lifecycle (data preparation, model training, validation, deployment, monitoring)
• Ability to support business validation of model outputs, ensuring results are interpretable, reliable, and actionable
• Understanding of model performance metrics (e.g., forecast accuracy, precision/recall, lift) and their business implications
• Strong awareness of data quality, data dependencies, and data governance considerations
• Experience working with data scientists and ML engineers, acting as a bridge between technical and business teams
• Working knowledge of data analysis tools (e.g., SQL; exposure to Python or similar tools is a plus)
• Experience with data visualization and BI tools (e.g., Tableau, Power BI) to analyze and communicate insights
• Understanding of experimentation methodologies (e.g., A/B testing, test-and-learn frameworks)
• Awareness of AI governance principles, including explainability, bias, and ethical considerations
• Familiarity with data privacy regulations (e.g., GDPR) and their impact on data and AI solutions
• Experience in Ad Sales, Air-Time Sales, or Research business areas and respective applications
• Experience working within AdTech ecosystems (e.g., OMS, ad servers, programmatic platforms)
• Exposure to AI-enabled products such as forecasting tools, optimization engines, or recommendation systems
• Experience evaluating and integrating third-party technology or AI vendors
• Formal Business Analysis training or certification