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Senior Manager, Strategic Finance Technology & AI Analytics
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at Lumen in Boise, Idaho, United States
Remote
Full-Time
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Job Description
at Lumen in Boise, Idaho, United States Job Description Lumen is the trusted network for the AI-powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high-performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AI-ready connectivity, join us today. The Role The Senior Manager of Financial Intelligence and Data Analytics is responsible for leading the design, implementation, and optimization of data systems and analytical processes that drive financial decision-making. This role integrates artificial intelligence (AI) and automation to enhance data quality, speed, and insight delivery, while ensuring compliance and governance. Work Location Fully remote position open to candidates based anywhere in the U.S. The Main Responsibilities
- Develop and execute a data strategy aligned with business goals, leveraging AI-driven analytics to uncover trends, risks, and opportunities.
- Build and maintain robust data sets from multiple sources to support financial intelligence initiatives.
- Develop and maintain finance data models, dashboards, and reports to meet business and reporting needs.
- Apply statistical methods, modeling, and AI/ML techniques to detect anomalies, forecast performance, and support strategic planning.
- Lead and build a high-performing technical team, providing direction, mentorship, and fostering a culture of innovation and continuous improvement.
- Translate complex financial data into clear, actionable insights for executives and stakeholders. What We Look For in a Candidate
- Bachelor's degree in finance, accounting, business analytics, statistics, computer science, or related field; advanced degree preferred.
- 5+ yrs in financial analytics, data management, or related roles; 3+ yrs in a managerial capacity.
- Proficiency in SQL , Python, R, or similar for data analysis and automation.
- Experience with AI/ML frameworks.
- Familiarity with