AI Product Lead – Business Intelligence

Role Overview

• Own and shape enterprise BI products used across global technology and business teams.
• Work closely with senior stakeholders to translate strategic needs into actionable analytics solutions.
• Lead Agile delivery teams building dashboards, data models, and analytics platforms.
• Gain exposure to enterprise data ecosystems, cloud platforms, and modern BI technologies.
• Play a key role in driving the organization’s data transformation and self-service analytics strategy.
• Define and own the product vision, strategy, and roadmap for DTS Business Intelligence products.
• Lead cross-functional teams to develop and deliver products that are impactful and scalable, effectively addressing market demands.
• Continuously evaluate and adapt the product strategy to remain responsive to changing market conditions and customer feedback.
• Collaborate with customers to gain insights into their business challenges, workflows, and objectives.
• Identify opportunities for AI to deliver tangible value.
• Assess and calculate the ROI and time-to-value for AI features or solutions.
• Own and manage the product backlog for BI dashboards, data pipelines, and reporting solutions.
• Lead backlog grooming, sprint planning, reviews, and retrospectives.
• Work closely with development, QA, and data engineering teams to ensure timely and high-quality delivery.
• Manage dependencies, risks, and release planning.
• Develop comprehensive AI solutions that encompass all stages from data sourcing to model selection, integration, and user experience.
• Collaborate with product teams, engineering, and partners to assess and establish technical feasibility.
• Drive packaging and go-to-market strategy based on customer insights and market trends.

Requirements

• Over 8 years of experience in Product Ownership, Business Intelligence, Data Analytics, or related roles.
• Strong experience managing Business Intelligence or data products in Agile/Scrum environments.
• Experienced in leading AI product development and engineering teams, with a hands-on approach to proofs of concept (POCs) and technical implementations.
• Expertise in identifying AI use cases: Ability to assess a wide range of AI applications and develop feasible solutions that deliver measurable impact.
• Good understanding of Data Warehousing, Data Modeling, ETL/ELT processes.
• Hands-on experience with BI tools such as Power BI, Tableau, or similar.
• Customer-focused mindset with a history of delivering impactful AI solutions.
• Proven experience working in agile environments with cross-functional teams.
• Excellent leadership, communication, and stakeholder management skills.
• Ability to work with global teams across time zones.

Tech Stack

• Cloud
• ETL
• Tableau

Benefits

• 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.