Business Intelligence, AI Lead
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Job Description
Business Intelligence & AI Lead at Westinghouse accelerating data-driven decision-making and enabling reliable data pipelines across the organization. Requires strong technical skills and 8+ years experience in analytics.
Responsibilities:
- Own and deliver a portfolio of AI and analytics initiatives that measurably improve sales, operations, and customer experience.
- Translate business problems into actionable data products (dashboards, models, automations, and self-service insights).
- Partner with stakeholders to define success metrics, prioritize use cases, and drive adoption through change management and enablement.
- Establish scalable, governed data pipelines that improve data quality, availability, and trust across WPB.
- Lead the identification, evaluation, and implementation of AI capabilities to optimize business processes, improve forecast accuracy, increase targeted sales, and enhance supply chain and operational performance.
- Build and maintain executive-ready analytics and reporting (e.g., Power BI) that translate complex data into clear, actionable insights.
- Design, implement, and operate scalable data pipelines and data products using Databricks and related tooling; ensure data quality, lineage, and reliability.
- Partner with business leaders and SMEs to discover high-value use cases, define requirements, establish success metrics, and drive adoption.
- Evaluate vendor and internal AI solutions (including GenAI) for fit, risk, scalability, and ROI; recommend a path forward and lead pilots/proof-of-value efforts.
- Establish lightweight AI governance practices (data privacy, responsible use, model performance monitoring) aligned to company standards and a regulated environment.
- Deliver and improve internal and external digital experiences (websites and B2B marketplace platforms) that support customer needs, compliance, and brand quality.
- Apply agile project management practices to plan work, manage dependencies, and deliver incremental value on a predictable cadence.
- Create documentation, plans, and training that enable self-service analytics and improve data literacy across the organization.
- Provide quality assurance and testing support for new analytics, automation, and AI-related tools to ensure stability and positive user experience.
Requirements:
- Bachelor's degree in a quantitative/technical field (e.g., Computer Science, Data Science, Engineering, Information Systems, Statistics/Math) or equivalent experience
- 8+ years of experience in project execution and data analytics, preferably in a regulated industry
- Experience translating business goals into analytics and AI roadmaps.
- Experience leading AI/analytics initiatives end-to-end (use case discovery, requirements, delivery, adoption, and measurement).
- Data storytelling skills—able to turn complex analyses into clear executive-ready insights and recommendations.
- Experience building and operating governed data pipelines and data products (e.g., Databricks) with strong data quality mindset.
- Strong reporting and visualization skills (Power BI, DataBricks); familiarity with KPI design and dashboard best practices.
- Experience evaluating AI solutions (including GenAI) for value, scalability, and risk a plus; experience running pilots/proof-of-value
Benefits:
- Comprehensive Medical benefits which could include medical, dental, vision, prescription coverage and Health Savings Account (HSA) with employer contributions options
- Wellness Programs designed to support employees in maintaining their health and well-being including Employee Assistance Program providing support for our employees and their household members
- 401(k) with Company Match Contributions to support employees' retirement
- Paid Vacations and Company Holidays
- Opportunities for Flexible Work Arrangements to promote work-life balance
- Educational Reimbursement and Comprehensive Career Programs to help employees grow in their careers
- Global Recognition and Service Programs to celebrate employee accomplishments and service
- Employee Referral Program
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