Ai Enablement Lead For Enterprise Solutions

Dow Jones & Company, Inc.; Barcelona; On-site; EUR 120,000 - 155,000; Full time

Job summary

IQVIA seeks an Engineering Manager / Delivery Lead to own end‑to‑end delivery for Agentic AI solutions within AI & Technology Solutions. You will translate product intent into clear delivery plans, orchestrate both internal teams and vendors, and ensure regulatory and quality governance from PoC through production.

You will mentor a multidisciplinary team of AI engineers and data specialists, drive sprint cadence, and maintain delivery readiness across environments, CI/CD, and release processes.

Qualifications

• 10+ years in engineering delivery roles or equivalent.
• Proven experience delivering Agentic AI or data‑intensive platforms.
• Experience in regulated enterprise environments with production readiness and lifecycle controls.

Responsibilities

• Own end‑to‑end delivery for Agentic AI solutions from PoC to production.
• Translate product scope and architectural direction into delivery plans and milestones.
• Drive day‑to‑day engineering delivery, dependencies, and blockers.
• Ensure delivery readiness across environments, QA, validation, and release governance.
• Coordinate internal teams and external vendors as a single delivery unit.
• Provide transparent delivery reporting and surface risks with options.
• Lead a multidisciplinary engineering team providing technical guidance and mentorship.
• Align delivery with regulatory, quality, and governance expectations.

Skills

Delivery leadership

AI delivery

Python/Java/Scala

CI/CD

Vendor management

Sprint planning

Cross-functional leadership

Education

Bachelor's or Master's in CS/IS

Tools

Git

CI/CD tooling

Job description

Barcelona, Spain
Full time
R
**Role Description**
We are seeking an Engineering Manager / Delivery Lead to own end‑to‑end delivery execution for Agentic AI solutions within AI & Technology Solutions (ATS), Clinical AI & Technology Innovation (CAITI). This role is accountable for translating product intent and architectural direction into reliable, compliant, high‑quality delivery outcomes, by leading internal teams and external vendors.
Operating as part of the Core Development Team, the Engineering Manager is the single point of accountability for delivery execution, owning sprint cadence, SDLC deliverables, delivery readiness, and release orchestration from Proof of Concept through Production.
This role works in tight partnership with:
+ AI Product Manager & Product Owner (value, scope, priorities)
+ AI Solution Architect & Tech Lead (architecture, patterns, technical direction)
+ Program Manager (governance, cross‑program alignment, escalation)
while retaining clear decision authority over delivery execution.
**Key Responsibilities**
+ Own end‑to‑end delivery execution for Agentic AI solutions from Proof of Concept through Production, ensuring predictable, high‑quality outcomes.
+ Translate product scope and architectural direction into clear delivery plans, sprint cadence, and execution milestones.
+ Drive day‑to‑day engineering delivery, including dependency management, issue resolution, and removal of execution blockers.
+ Ensure delivery readiness across environments, CI/CD, quality gates, validation, and release governance.
+ Coordinate and orchestrate internal teams and vendors to deliver as a single, integrated delivery unit.
+ Partner closely with Product, Architecture, QA, Validation, and Program Management to ensure delivery aligns with regulatory, quality, and governance expectations.
+ Provide transparent delivery reporting, proactively surface risks, and escalate issues with clear options and trade‑offs.
+ Support release and rollout execution (pilot to scale) and ensure effective handover to operations.
+ Lead and mentor a multidisciplinary engineering team (AI engineers, data engineers, platform engineers), providing technical guidance, career development, and performance management.
+ Act as delivery owner for vendor‑contributed work, including: 1) Task integration, 2) Quality expectations, 3) Delivery timelines.
+ Ensure vendor outputs meet IQVIA standards and are integrated seamlessly into CI/CD and release processes.
+ Surface delivery risks related to vendor dependency early and clearly.
**Key Qualifications**
**Experience**
+ 7+ years in engineering delivery roles, with demonstrated ownership of end‑to‑end delivery in complex systems.
+ Proven experience delivering Agentic AI, AI‑enabled, or data‑intensive platforms, including systems that incorporate reasoning, orchestration, retrieval, or automation components.
+ Experience delivering AI solutions in regulated or highly governed enterprise environments, with accountability for production readiness, auditability, and lifecycle controls.
+ Demonstrated ability to coordinate cross‑functional teams and external vendors delivering agent‑based solutions across prototype, MVP, and production stages.
**Technical & Delivery Background**
+ Bachelor's degree with 10+ years of experience, or Master's degree with 7+ years of experience in Computer Science, Information Systems, or a related technical field.
+ Strong understanding of Agentic SDLC / ADLC concepts, including agent lifecycle management, phased progression.
+ Experience delivering systems that require agent evaluation, monitoring, and feedback loops, including performance, reliability, and behavioral drift considerations.
+ Ability to engage credibly with Solution Architects, Tech Leads, and AI teams on agent feasibility, orchestration complexity, dependency sequencing, and delivery risk.
+ Practical understanding of CI/CD for agentic systems, including environment readiness, controlled releases, rollback strategies, and post‑deployment monitoring.
+ Proficiency in programming languages such as Python, Java, or Scala, with strong understanding of data structures and algorithms.
+ Scala, with strong understanding of data structures and algorithms.
IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at .
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
At IQVIA, we believe that diversity, inclusion, and belonging empower our mission to accelerate innovation for a healthier world. We create a culture of belonging by valuing the perspectives of all talented employees worldwide and providing them with the opportunity to power smarter healthcare for everyone, everywhere. When our talented employees bring their authentic