Senior/Principal Business Analyst, Digital Solutions and Strategy

Job Description:

Senior/Principal Business Analyst

Digital Strategy & Solutions (DS&S) for the Digital AI Solution (DAS)

The Role

Are you ready to be a part of an innovative team? The DS&S chapter helps build world class, AI-powered digital products at scale. Our chapter members humanize products, services, and experiences. We are looking for someone who is ready to join a dynamic team responsible for developing AI-powered capabilities for the DAS product area. These solutions will use innovative design, AI/NLP techniques, and development practices.

As Business Analyst, you will partner and be a part of a squad where you will provide business analysis and expertise to support the creation of digital experiences for our associates and customers! You will play a meaningful role in all phases of digital product management, including:

• Integrating deep research and industry awareness
• Impacting product strategy
• Synthesizing requirements from business needs, customer needs, and requests from our partners and stakeholders
• Driving implementation across all client and associate touchpoints
• Ensuring that product priorities drive business value
• Discovering the right opportunities using data
• Collaborating with members of the team to define innovative solutions
• Supporting client and field readiness
• Measuring the business outcomes

• Bachelor's degree required
• 5-7 years of business analysis experience delivering high-value digital solutions to customers and/or associates
• Client-obsessed with a passion to solve challenges through a data-driven approach
• A product, agile, and digital mindset
• Experience working in an agile team
• Affinity for technology, keeping up to date on industry innovations
• Strong storytelling skills, conveying the vision and impact of digital solutions through data and visualization
• 1-3+ years of commercial or academic experience, executing or leading work for digital or AI-powered products.
• Experience training and evaluating language models
• Experience developing, tuning, and evaluating various types of machine learning algorithms, e.g., supervised, unsupervised, deep learning, neural networks
• Proven knowledge of business analyst techniques, e.g., requirements elicitation, current/future state analysis, flow diagramming, benchmarking, business rules and risk analysis, user acceptance testing, and product documentation
• Subject Matter Expertise (as needed) in release planning, sprint reviews, and retrospectives for assigned initiatives and features
• Strategic collaboration with stakeholders during plan reviews
• Guidance and assistance to squad members on epic requirements and acceptance criteria
• Experience with end-to-end business acceptance testing and with ensuring the traceability of use cases
• Familiarity with data analytics and related toolsets, e.g., SQL, AWS-Athena, Snowflake