Sr. Business Analyst with Ad sales exp

Role Description Role: Sr. Business Analyst with Ad sales exp
Role Description Role: Sr. Business Analyst with Ad sales exp
Location – Ontario, Canada
Work Mode – Remote
Mandatory Skills Sr. IT Business Analyst with 8-10 years' experience with mid to large-scale software development or data-driven projects
Have experience supporting technology solutions within a Media industry organization
Have experience in Ad sales, Air-Time Sales, Business Intelligence, and Audience Research business areas and respective applications desirable
Have experience working within AdTech ecosystems (e.g., OMS, ad servers, programmatic platforms)
Have exposure to AI-enabled products such as forecasting tools, optimization engines, or recommendation systems
Responsibilities The Sr. IT Business Analyst AI Initiatives is responsible for the planning and execution throughout the lifecycle of AI enabled software solutions within the business domain This includes identifying defining and prioritizing business and data requirements and working closely with business stake holders data science teams and technology partners to ensure solutions meet business needs and deliver measurable value
He or she will create and develop requirements and concepts for AI driven product enhancements in support of business and technology needs This position provides a wide variety of services to business users including business analysis data validation and quality assurance supporting both strategic initiatives and day to day operations
The role also entails coordination of project delivery for AI related releases as well as ensuring compliance with internal governance including SDLC and SOX related processes where applicable.
Specific Responsibilities Include 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 AIML use cases eg 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 AIenabled 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 thirdparty 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
Basic Qualifications 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 largescale 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 fastpaced matrixed environment
AI Data Skills Practical understanding of AIML concepts and their business application including predictive modeling optimization and recommendation systems
Ability to translate business problems into structured AIdata use cases including defining features inputsoutputs and success metrics
Familiarity with the AIML lifecycle data preparation model training validation deployment monitoring
Ability to support