Senior Delivery Leader

Aptia Group

About The Position

About Aptia Founded to shape the future of pensions, health, and insurance solutions, Aptia is a leading professional services firm dedicated to simplifying complexity for businesses and individuals. We bring together cutting-edge technology and deep industry expertise to help organisations navigate an evolving landscape with clarity and confidence. With a presence in the US, UK, India, and Portugal, we support over six million people and more than 1,100 clients, delivering solutions that drive efficiency, enhance financial security, and provide peace of mind. Our strength lies in the combination of smart technology and expert teams, ensuring that managing pensions, health, and insurance is more effective. By focusing on innovation, accessibility, and client success, we help businesses take care of their people, so they can focus on what they do best. And we are expanding. Aptia Group is not only fueled by our investors' backing but also by our commitment to foster the growth and success of our people. At Aptia, we're investing heavily in learning and development, paving unique career paths for our colleagues. Specialist. Responsive. Thoughtful. Our values aren't just words; they are the backbone of our business. Our team embodies our values daily, to surpass client expectations, evolve constantly and nurture genuine relationships for the long-term. Job requirements The Senior Delivery Leader is a strategic role responsible for driving the planning, organization, and execution of high-impact engineering initiatives. This leader oversees delivery across AI/Data Engineering and Product Engineering, providing direction and ensuring teams have clarity, alignment, and the operational structure needed to deliver complex, data-driven solutions. As a key part of our U.S. business strategy, you will set the delivery rhythm for cross-functional initiatives spanning data pipelines, AI-enabled applications, ML workflows, integrations, and scalable enterprise services. Your leadership will ensure engineering work moves efficiently from concept through design, build, test, and deployment.

Requirements

12–15 years in technology delivery leadership, technical program management, or large-scale product execution roles at VP or Senior Director level
Strong understanding of AI, machine learning workflows, data engineering, and cloud-native architectures
Experience supporting delivery of data pipelines, integrations, model development and evaluation, ML-enabled applications, enterprise APIs and services, and automation or analytics platforms
Deep understanding of modern engineering workflows including Agile, iterative delivery, DevOps, MLOps practices, and CI/CD
Executive-level communication skills with the ability to influence across engineering, product, and business leadership
Proven success delivering complex engineering initiatives involving multiple teams and technical dependencies
Comfort working in fast-paced, evolving environments with maturing processes and structures
Strong analytical skills with the ability to use delivery metrics to guide decision-making
Ability to manage multiple priorities and evolving demands without compromising delivery or quality

Nice To Haves

Strong technical literacy, able to engage in discussions around data architecture, ML models, pipelines, APIs, and platform design
Experience coordinating work across AI/Data Engineering and Product Engineering
Familiarity with AI/ML concepts such as data preparation, feature engineering, training, evaluation, inference, and monitoring
Ability to simplify complexity and create clarity across highly technical initiatives
High ownership mindset with a bias toward action and continuous improvement

Responsibilities

Lead delivery execution across engineering groups focused on AI/Data Engineering and Product Engineering
Hands on with technology and have led AI related experience
Build cohesive delivery plans that account for data dependencies, model development steps, feature engineering, integration requirements, architectural constraints, and deployment milestones
Provide an executive-level view of timelines, risks, blockers, and sequencing across all AI, ML, analytics, and data engineering workstreams
Drive delivery execution for AI and data initiatives, including pipeline development, model lifecycle coordination, testing workflows, validation, and production readiness planning
Partner closely with Engineering, Architecture, and Product leaders to convert business needs into executable technical plans
Establish and maintain operating rhythms for planning, prioritization, estimation, reviews, and release coordination
Ensure workstreams involving data ingestion, transformation, APIs, microservices, and AI/ML workflows move smoothly and predictably
Remove blockers proactively and escalate issues early to protect delivery timelines
Lead continuous improvement across engineering operations, focusing on predictability, velocity, quality, and cross-team collaboration
Mentor and coach engineering and delivery leaders, raising execution maturity across the organization
Contribute to capacity planning, resource allocation, and workload balancing across AI/Data Engineering and Product Engineering teams
Provide regular reporting and stakeholder communication, delivering clear updates on progress, risks, dependencies, and milestones across cross-functional initiatives