Senior Lead Data Architect
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AI Summary
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
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.
Location
This is a fully remote opportunity open to candidates located anywhere in the U.S.
The Main Responsibilities
- 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 analytics while maintaining rigor in code-based workflows for complex analysis.
What We Look For in a Candidate
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field.
- 8+ years of experience in data analytics, with at least 3 years in a senior or principal role.
- Proficiency in SQL, Python, and enterprise data systems (e.g., CDW, SAP ECC); hands-on experience building automated workflows, scheduled pipelines, and data transformation scripts.
- Strong understanding of telecom product structures, service definitions, and port-based connectivity models.
- Experience with audit preparation and investor-facing reporting frameworks.
Preferred Skills
- Familiarity with Palantir Foundry and ontology-driven data modeling.
- Experience in product operations, backlog management, and agile delivery metrics.
- Ability to translate business strategy into measurable outcomes and scalable dashboards.
- Data science exposure preferred — familiarity with machine learning concepts, statistical modeling, and libraries such as scikit-learn, statsmodels, or similar; ability to collaborate with or direct data science teammates.
- Experience with no-code and low-code analytics tools (e.g., Power BI, Tableau, Alteryx, Dataiku, or similar), with the ability to serve both technical and non-technical users within the same workflow.
- Experience designing and managing automated reporting systems, including scheduled delivery, exception alerting, and self-serve analytics portals.
- Comfort working across the full analytics stack — from raw data extraction and transformation to polished executive-facing deliverables — without requiring handoffs between teams.
Compensation
| This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Location Based Pay Ranges $132,232 - $176,310 in these states: AL AR AZ FL GA IA ID IN KS KY LA ME MO MS MT ND NE NM OH OK PA SC SD TN UT VT WI WV WY $138,844 - $185,124 in these states: CO HI MI MN NC NH NV OR RI $145,456 - $193,940 in these states: AK CA CT DC DE IL MA MD NJ NY TX VA WA Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process. |
| Learn more about Lumen's: |
| Benefits |
| Bonus Structure |
Requisition #: 342281
Life at Lumen
Life at Lumen is human and connected, even in a fast moving, AI‑focused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes.
Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.
To learn more about Life at Lumen and how we live the Lumen 8, please visit:
https://jobs.lumen.com/global/en/life-at-lumen
Background Screening
If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Equal Employment Opportunities
We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.
Privacy Notice
Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.
To review Lumen’s Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice
Disclaimer
The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.
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