Jobs / United States / AT&T Services INC
Director-Advanced Analytics
AT&T Services INC · 🇺🇸 Dallas, Texas
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What AT&T Services INC paid sponsored hires in similar roles20 certified filings for “Lead Advanced Analytics” (Data Scientists) in TX: $145k–$170k, median $158k. Most were filed at wage level IV (79%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — AT&T Services INC
The US Department of Labor certified 393 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 80 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for AT&T Services INC →
About the role
The Director, Advanced Analytics sits at the forefront of AT&T's transformation into a truly evidence-driven organization. This role is responsible for uncovering the causal truth behind business performance, determining what actions create incremental impact, which investments drive growth, and where opportunities exist to accelerate customer and financial outcomes. As the organization's leader in causal measurement and experimentation, the Director will pioneer the development of advanced causal models, experimentation frameworks, and analytical systems that uncover the true drivers of business performance. By integrating Marketing Mix Models (MMM), causal inference, experimentation, predictive analytics, and AI-enabled decision intelligence, this leader will establish the trusted source of causal truth for AT&T, revealing how media investments, offer strategies, sponsorships, and growth initiatives generate incremental business value and enabling leaders to make faster, smarter, and more confident investment decisions. The Director owns the end-to-end measurement ecosystem, from defining strategic business questions and designing rigorous experiments to developing advanced analytical solutions, validating insights, and driving organizational adoption. Success requires challenging assumptions, uncovering hidden drivers of performance, and translating complex analytical findings into simple, decision-grade recommendations that influence strategy and investment decisions at the highest levels of the organization. The ideal candidate is both a scientist and a strategist, equally comfortable designing sophisticated causal frameworks, applying advanced statistical and AI-driven methodologies, and influencing executive decisions. They are passionate about solving complex business problems, building stakeholder confidence in measurement outcomes, and creating a culture where decisions are driven by evidence, experimentation, and continuous learning. This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. About the Marketing & Growth Organization The Marketing & Growth Organization is AT&T’s marketing engine, responsible for driving sustainable growth by deeply understanding and championing our customers, captivating them with compelling products, services and experiences; and building a culturally relevant and beloved brand. We pride ourselves in continuously striving to embody expertise, simplicity and inspiration in everything we do. Marketing Measurement and Optimization (MMO) Do you want to use your analytics skills to help craft strategy at AT&T? Are you interested in developing the cutting edge of the Marketing Data Analytics industry? The mission of the MMO team is to develop and implement a systematic approach to quantify the holistic drivers of demand to understand the opportunity costs of investment decisions. We measure the impact media, offers, and all other drivers has on sales, profitability, brand equity, and consumer behavior. Key Responsibilities: Establish AT&T’s Marketing Causal Truths • Develop AT&T’s causal measurement architecture by integrating causal inference, experimentation, advanced econometrics, MMM, and AI-enabled analytics into a unified intelligence platform • Build scalable causal models that quantify incremental impact, identify business drivers, and predict outcomes across media, offers, sponsorships, and growth initiatives • Embed causal evidence into forecasting, optimization, and investment planning to improve resource allocation and business performance • Advanced measurement science capabilities through the application of AI, machine learning, and next-generation causal modeling techniques Scale Marketing Experimentation an