Sr. Business & Information Analyst(s)

Company:  Verdant Infotech Solutions
Location: Copper Canyon
Closing Date: 30/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Sr. Business & Information Analyst(s)

W2

100% Remote

GC/USC

Video I/V

"We Power the Magic! That's our motto at Disney Experiences (DX) Tech & Digital. Our team creates world-class immersive digital experiences for the Company's premier vacation brands. We deliver experiences to consumers through our Disney's Parks & Resorts worldwide, Disney Cruise Lines, and Disney Vacation Club. We are responsible for the end-to-end digital and physical Guest experience for all technology & digitally led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business, as well as other initiatives such as Hey, Disney!

This role sits in the AI COE within DX Tech & Digital. As a Senior Business Analyst, you will report into the Director, AI Solutions & Development who oversees the AI COE.

The Senior Business Analyst (BA) is responsible for engaging all sites in Disney Experience to develop prioritized AI/ GenAI use cases. This role works to understand business needs, research industry technology trends, and gather service requirements to maximize delivery of business value all while translating into requirements that the DX AI COE can use to design and develop solutions and estimates. The Senior Business Analyst develops business case documentation to ensure benefits align to objectives.

Standard requirements of a Sr. BA

Three important points:

Understands the dangers and complexities of AI - call out risks of AI during acceptance

Very wise and current on how GenAI functions, ethical considerations, etc

Very strong understanding of how the technology functions

Gather business requirements for the pipeline - will talk with many stakeholders and platform owners to build requirements around data pipelines

Qs: This group will help develop ethical guidance and governance around use of AI

Qs: Adopted agile principals, familiarity with scrum - not completely by the book

What You'll Do

Support pre-project business problem elicitation, feasibility and business case definition.

Works with the business and technology teams to determine the issue(s) that need to be solved, or the opportunity to do things differently.

Develops the project case, in particular ensuring benefits align to strategic and tactical objectives.

Supports business, technical, and financial feasibility assessments.

Works with the project team & stakeholder group to capture and document requirements (functional and non-functional), process flows, and data pipelines, using techniques such as workshop facilitation, document analysis, sites visits, use cases, scenario modeling, and task/workflow analysis.

Ensures requirements are concise, complete, specific, and unambiguous, and that they are aligned to the strategic and tactical goals of the project and the organization

Provides refined requirements into project iterations in time to allow design/delivery to commence.

Manages the scope and traceability of requirements throughout the project lifecycle, ensuring that they are understood by the project team and met by the delivered solution.

Identifies and presents high level solution options for the project scope

Works with the Business Architect, ensuring business processes are aligned with the business and technology architecture.

Reviews and signs off on solution designs, ensuring requirements are verified, validated and delivered.

Ensures the benefits, impact and release of all changes are tracked and managed and communicated to relevant stakeholders.

Provides subject matter expertise on the business unit and associated processes and systems to all relevant team members.

Assists the Project Manager in identifying and managing risks, issues and dependencies.

Assists the team in resolving questions related to requirements or process.

Supports the review of contracts drawn up with any third-party suppliers to ensure that they accurately reflect the needs of the project scope

Assists the team with the collection of ideas, entering them into the system of record.

Aligns with technology management to have a consistent view into the projects and projects being funded for executive leader report outs.

Understanding of Generative AI capabilities and limitations: The BA should have a basic understanding of how generative AI works and its potential applications to identify relevant use cases within the organization.

Collaboration with data scientists and AI engineers: The BA will need to work closely with these technical experts to ensure GenAI solutions are feasible and address real-world problems.

Evaluation of ethical considerations in GenAI development: Understanding potential biases and ethical implications of GenerAI models is crucial for responsible development.

Required Qualifications & Skills

Bachelor's Degree in the field of Information Technology, Business, or similar field; plus 5 years of experience

Or Master's degree in the field of Information Technology, Business, or similar field; plus 3 years of experience

Experience in applying business analysis techniques, such as information gathering methods, requirements documentation, process modeling and process mapping.

Understanding of all stages in a project lifecycle and delivery approaches.

Knowledgeable in Generative AI/ LLMs and its applications in business processes.

Understanding of Machine Learning & AI Concepts

Familiarity with Generative AI techniques.

Ability to understand, analyze, and interpret data

Strong business acumen to understand business processes and business problem statements

Excellent communication and interpersonal skills

Ability to work in a fast-space environment

Strong analytical thinking and problem-solving skills

Familiar with various use cases for Generative AI in the market

Understanding of specific GenAI tools is a plus.

Preferred skills

Practical experience as a BA for data lakehouse solutions and technical data platform . data products

Knowledgeable about Snowflake and different vector store technologies

Education

Bachelor's Degree in the field of Information Technology, Business, or similar field; plus 5 years of experience

Or Master's degree in the field of Information Technology, Business, or similar field; plus 3 years of experience

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