About the Role Grade Level (for internal use): 11 Job Overview This role combines in-depth analytical capabilities with product management expertise. You will apply your knowledge to improve processes and workflows, integrate industry expertise, and evaluate complex issues that can significantly impact product success. You will also lead initiatives to enhance product offerings, ensuring alignment with business objectives and customer needs. Responsibilities and Impact

5-8 years of experience collaborating with stakeholders to gather complex data requirements that will support DaaS products. You will play a pivotal role in solving complex data challenges by ensuring our data processes, documentation, and tooling follow MDLC (Machine Learning Development Lifecycle) best practices. Work with other business analysts, data engineers, data scientists, product and data production teams to capture requirements and deliver complex data solutions using ML, predictive analytics and AI. Develop and execute Proof of Concepts (PoCs) to define requirements and build prototypes prior to full product development. Conduct thorough data analysis to identify trends, patterns, and anomalies within datasets. Create detailed documentation of processes, including flowcharts using Visio (or similar), to support business analysis efforts. Identify, document, and track risks and defects while managing both short-term and long-term product backlogs. Produce technical documents such as feature releases, product releases, FAQs, and assist with go-to-market documentation. Gather customer feedback to inform priorities for the product backlog, especially for mid to longer term solutions. Has good awareness of the product's health status and delivers regular progress reports to stakeholders. Ability to work in multiple projects/products at the same time. Lead cross‑functional teams in a matrix organization, demonstrating excellent communication skills and a customer‑facing approach to resolving queries. Experience in DaaS or SaaS within the automotive sector is advantageous. Proficiency in data analysis with strong business acumen. Strong communication, presentation, and people management skills, with the ability to collaborate effectively with teams. Documentation of complex workflows and solutions.

Required Qualifications

Experience: 5-8 years in a product development/product management environment as a senior business analyst, with a strong focus on data‑driven analysis and results‑oriented approaches. Knowledge of AWS, experience writing Python for data manipulation, automation or visualisation such as pandas. Good understanding of SQL. Excellent project management skills.

Benefits We take care of you, so you can take care of business. We care about our people. That's why we provide everything you and your career need to thrive at S&P Global.

Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in‑class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries Recruitment Fraud Alert If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, 'pre‑employment training' or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf #J-18808-Ljbffr