Senior Lead Data Architect

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.

Lumen is seeking a strategic and technically adept Senior Lead Data Architect to lead high-impact analytics initiatives across the Product organization. This role goes beyond traditional business intelligence — the ideal candidate will bring deep strengths in automation, advanced analytics, and scalable reporting, with working knowledge of data science methods and the versatility to operate across both code and no‑code environments.

This individual will drive data discipline, enable predictable delivery, and support innovation by transforming complex datasets into actionable insights. They will serve as a thought partner to product leadership, influencing decisions through rigorous analysis, automated workflows, and enterprise‑grade reporting frameworks.

You’ll be at the heart of Lumen’s transformation, enabling data‑driven decision‑making across product innovation, delivery, and customer experience. This role offers visibility to executive leadership and the opportunity to shape how data informs our future.

This is a fully remote opportunity open to candidates located anywhere in the U.S.

• Strategic Analytics Leadership:
  Partner with Product Ops and Product Houses to define and measure innovation vs. predictability trade‑offs, surfacing gaps in current metrics and proposing new KPIs aligned to business goals.
• Data Architecture & Governance:
  Lead efforts to unify data sources across legacy systems and modern platforms (e.g., CDW, Palantir Foundry), ensuring consistency, auditability, and scalability of analytics solutions.
• Product Performance Measurement:
  Develop frameworks to assess product delivery velocity, backlog health, and customer impact using tools like Power BI, Salesforce, and internal product layer data.
• Stakeholder Engagement:
  Collaborate with Product Managers, Engineering, Finance, and Sales to align data definitions and reporting logic, ensuring transparency and trust in shared dashboards and executive summaries. Design and maintain standardized, automated reporting pipelines that reduce manual effort and deliver consistent, on‑demand insights to stakeholders at all levels.
• Advanced Modeling & Forecasting:
  Build predictive models and apply data science techniques — including regression, clustering, and time‑series analysis — to support funnel analysis, ARPU forecasting, churn prediction, and incremental sales tracking for high‑bandwidth services (e.g., Ethernet, IPVPN, NAS). Translate model outputs into business‑ready narratives for non‑technical audiences.
• Mentorship & Enablement:
  Guide junior team members and cross‑functional teams in best practices for data handling, visualization, and storytelling. Champion upskilling and bi‑directional data literacy across the Product organization.
• Automation & Workflow Engineering:
  Design and implement automated data pipelines, scheduled reports, and alert‑driven workflows that reduce manual processing and increase the speed and reliability of analytics delivery. Leverage scripting (Python, SQL) alongside automation platforms to operationalize recurring analytics at scale.
• Code & No‑Code Environment Fluency:
  Operate effectively in both programmatic (Python, SQL, Jupyter) and no‑code/low‑code environments (Power BI, Tableau, Alteryx, or similar), selecting the right tool for each audience and use case. Empower business users through self‑serve…