Job Description:
The Role
As a Principal Business Analyst, you will partner and collaborate with a team where you will provide business analysis and expertise to support the creation of digital experiences for our associates and customers. The Digital Strategy and Solutions chapter helps build world class, AI-powered digital products at scale. We are seeking an individual who is ready to join a dynamic team responsible for developing AI-powered capabilities!
These solutions will use innovative design, AI/NLP techniques, and development practices. You will play a meaningful role in all phases of digital product management, including:
- Integrating deep research, industry awareness and 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 and measuring business outcomes
- Collaborating with members of the team to define innovative solutions
- Supporting client and field readiness
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Principal Business Analysts are aligned with the Digital AI Solutions product area, whose mission is to deliver simple, fast, and easy AI-powered digital products and services for customers and associates across all channels. We work towards seamless customer experience on web, mobile, and voice-based interactions driven by AI-based natural language solutions!
Skills and Expertise You Bring
- Bachelor's degree required
- 5-7 years of business analysis or data science experience delivering high-value digital solutions to customers and/or associates
- 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
- Demonstrated 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
- 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
Note: Fidelity is not providing immigration sponsorship for this position
Certifications:
Category:
Product Management
Fidelity's hybrid working model blends the best of both onsite and offsite work experiences. Working onsite is important for our business strategy and our culture. We also value the benefits that working offsite offers associates. Most hybrid roles require associates to work onsite every other week (all business days, M-F) in a Fidelity office.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.