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Principal Software Engineer responsible for owning customer-facing products end to end, leading technical strategy, architecting large-scale distributed systems, and delivering AI-native experiences. The role involves full-stack implementation, product strategy, system design, code reviews, reliability, testing, telemetry, security, performance, and mentoring engineers. Candidates must have extensive experience building and operating large-scale systems and strong product, UX, communication, and collaboration skills.
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Elicits and documents business requirements, facilitates stakeholder workshops, analyzes current and future-state processes, and creates BRDs, functional requirements, user stories, and process maps. Supports Agile delivery activities, UAT, change traceability, post-launch solution monitoring, and user training. The role independently manages requirements for a defined business area or system and applies process, data, and stakeholder analysis skills.
Key Responsibilities
- Elicit and document business and functional requirements
- Conduct stakeholder interviews, workshops, and requirement validation sessions
- Analyze current-state processes and support future-state process design
- Create Business Requirement Documents (BRD), Functional Requirement Documents, user stories, and process maps
- Support sprint planning, backlog refinement, and UAT
- Manage requirement changes and traceability
- Monitor the performance of solutions deployed post Go-live and provide analysis to the end-users
- Facilitate onboarding training for new users and refresher sessions for existing users of enterprise productivity and workflow tools
Scope & Complexity
- Works independently within a defined business scope
- Manages requirements for a specific business area or system
- Escalates complex issues to senior analysts
Qualifications
INTERNAL
- At least 1 year tenure as B4 or P1, P2
- No DA or Not in any active prescriptive period
Required Experience & Skills
- 2 – 4 years of Business Analysis experience
- Bachelor's degree in related field, or equivalent work experience; (BS Industrial Engineering, BS Business Administration preferred)
- Solid understanding of project management principles (Agile, Waterfall and hybrid delivery models) required
- Intermediate to advanced Process and Data analysis skills (process mapping, VSM, Time and Motion Study, Benefit Quantification) required
- Strong stakeholder coordination skills, good communication and exhibits critical thinking skills
- Certified Lean Six Sigma Yellow Belt required, Green belt preferred
- Basic to Intermediate Data Analytics skills
- Familiarity in using BI Tools such as Power BI and Tableau
Success Indicators (P2)
- Quality and clarity Process Solution Documents with zero to minimal rework
- On-time project delivery with proper change communication and management
- Good overall Stakeholder satisfaction
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.
