Head of Digital Delivery

Job Responsibilities

•  Leadership & Team Management:
Directly manage and mentor a team of Engineering Managers (EMs) responsible for software development.
Provide strategic leadership across IT and Data Engineering, overseeing feature delivery through matrixed management.
Foster a culture of innovation, accountability, and continuous improvement within the technology teams.
Establish metrics-centered engineering operations across teams, with quantitative mindset towards continuous improvement (including automations and AI adoption).
Act as a key point of escalation for complex technical challenges and blockers across software, IT, and data teams.


• Engineering Excellence & Delivery:
Drive the successful delivery of features and solutions by ensuring cross functional alignment between engineering, IT, and data teams.
Collaborate with EMs, architects, and product leaders to develop a cohesive technology roadmap that aligns with business goals.
Ensure on-time and quality delivery of software products and solutions by establishing strong engineering practices, DevOps, and automation strategies.
Implement and monitor KPIs to track feature delivery performance and operational effectiveness.


•  Cross-Functional Collaboration:
Partner closely with Product Management, IT, and Data Engineering to prioritize and deliver initiatives that support business outcomes.
Facilitate communication and coordination across software engineering, IT, and data engineering teams to ensure alignment and mitigate risks.
Advocate for the integration and optimization of data infrastructure and IT systems within the software development lifecycle.


• Strategic Planning & Execution:
Contribute to long-term technology strategy and planning, ensuring alignment with overall business objectives.
Identify key technical and operational dependencies and ensure risk management is integrated into project planning.
Lead initiatives focused on system scalability, performance, and security across software, IT, and data systems.


• Matrixed Leadership:
Leverage matrixed oversight to guide IT and Data Engineering teams in the implementation of features that intersect with software development.
Support feature delivery by managing dependencies, removing roadblocks, and fostering collaboration between different technical disciplines.
Ensure seamless integration between software, IT systems, and data platforms. 

Job Requirements

• Excellent interpersonal skills required for success in the role.
• Strong technical skills required for success in the role
• Exceptional strategic thinking and problem-solving abilities, with a successful project delivery track record. 
• Excellent leadership and interpersonal skills, with the ability to motivate and inspire teams to achieve common goals. 

Education and Experience

• Exceptional leadership, communication, and collaboration skills, with a track record of coaching and mentoring high-performing teams.
• Demonstrated ability to deliver high-impact, large-scale technology initiatives. Specialty in B2B software platforms and marketplace development preferred.
• Strong knowledge of cybersecurity best practices.
• Proven success in driving digital transformation initiatives.
• Comfort working in an international setting and managing geographically distributed teams


• Bachelor’s degree in computer science, software engineering, or a related technical field. Advanced degrees preferred.
• 10+ years of experience working in software development, with at least 5 years in a management role. Ideal candidate would have experience managing delivery across 30-60 person teams and 4 – 10 scrum teams.
• Proven experience managing Engineering Managers (EMs) and teams in a dynamic, agile environment.
• Experience with matrix management across multiple disciplines, particularly with IT organizations, product management, and data engineering.
• Familiarity with modern software engineering and data engineering technologies (e.g., Github Copilot, CI/CD pipelines, data lakes, data warehouses, ETL processes).
• Solid knowledge of cloud platforms (particularly AWS), data engineering concepts and tooling (e.g. Databricks), and IT infrastructure (e.g. Microsoft Cloud Suite). Capabilities in enterprise architecture would be preferred.
• Previous experience in data-driven decision-making and utilizing metrics to drive team performance.


• Travel: 2-4 international work visits to the US per year