Skills this job asks for
Machine learningComplianceLeadershipTranslation
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordThe US Department of Labor certified 99 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.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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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.
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✓
What Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles4 certified filings for “Director, R&D IT - Dvlpmt & Late TA, IT Product Mgmt Clinic” (Data Scientists) in MD: $194k–$201k, median $194k.
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- The US Department of Labor certified 99 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. Source: LCA disclosure data (US Department of Labor (OFLC)).
- No salary bar for this route
- H-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 Astrazeneca Pharmaceuticals Lp paid sponsored hires in similar roles
- 4 certified filings for “Director, R&D IT - Dvlpmt & Late TA, IT Product Mgmt Clinic” (Data Scientists) in MD: $194k–$201k, median $194k. Most were filed at wage level IV (75%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
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.
About the role
Senior Director – EUIT Data & AI Forward Engineering Lead
Location: Chennai or Bangalore, India
Reports to: Head of Enabling Units IT
The Opportunity
Intelligent data solutions and machine learning are changing how we work, make decisions and deliver value across AstraZeneca. We seek a Senior Director, Enabling Units IT Data & AI Forward Engineering Lead to help build that change.
You will guide and manage a team that brings data, AI and forward engineering closer to the business. Working across Finance, HR, GBS, Legal, Compliance, M&A and EUIT, your team will turn business opportunities into trusted data products, AI solutions and measurable improvements in productivity, cost, speed and decision-making.
This is a broad technology leadership role combining strategy for data and AI, engineering, product leadership, transformation and operational excellence. You will collaborate with senior business and technology leaders and develop talent in India and the UK. You will invent an environment where teams can experiment, learn, and turn promising ideas into solutions that make a difference.
What You’ll Do
Shape Data & AI strategy
You will define and deliver the EUIT Data & AI Forward Engineering strategy, connecting technology investment to business priorities.
You will partner with senior leaders across Finance and enabling functions to identify opportunities where data, AI and automation can improve decisions, simplify work and create measurable value.
You will also bring relevant external perspectives into AstraZeneca, translating developments in AI, data and engineering into practical opportunities for the organisation.
Build Forward Engineering and Data Products
You will build a forward engineering model where multidisciplinary teams work closely with business colleagues to understand problems, test ideas and rapidly develop solutions.
Your organisation will develop trusted, reusable data products and AI capabilities that support analytics, automation and decision-making.
You will work with enterprise teams to establish strong engineering, architecture, security and governance practices, with privacy, responsible AI and data quality incorporated from the beginning.
Scale AI and Agentic Solutions
You will shape how AI agents are developed, deployed, managed and improved across EUIT.
Working with technology, security and governance teams, you will establish clear approaches for ownership, human oversight, observability, evaluation and cost management.
You will encourage reuse and interoperability while reducing unnecessary duplication. Solutions will be measured against clear outcomes including productivity, quality, adoption and cost.
Turn Innovation into Business Value
You will create practical ways for teams to experiment with new technology, quickly test promising ideas and scale solutions that deliver value.
Rather than focusing only on proofs of concept, you will help teams establish proof of value , linking investments to measurable improvements in productivity, cost, speed, risk reduction and decision-making.
You will establish clear baselines and measures with Finance and business partners so that the impact of technology investment is visible and understood.
Build AI Capability Across EUIT
A significant part of the role will be helping colleagues across EUIT build confidence and capability with AI.
You will develop learning opportunities that bring AI to life through hackathons, demonstrations, speaker sessions, communities of practice and role-based learning.
You will create opportunities for colleagues to experiment safely and help promising ideas progress from demonstrations into useful products, tools and AI agents.
Lead Talent and Organisation Development
You will build and develop a diverse team of forward engin
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