Engineering Manager – Software & Data

Purpose The Software Manager is responsible for leading a product engineering team by combining technical architectural leadership with team management, delivery oversight, and cross-department coordination. This role ensures that the product evolves with a strong technical foundation while meeting business goals, quality standards, and long-term platform strategy.The Manager works closely with the Tech Lead, Product Owner, Data Platform, IT/Security, and the Head of Software & Data to guarantee that architecture, execution, and team performance remain aligned Key Responsibilities Technical & Architectural Leadership Own and maintain the high-level architecture of the product, ensuring alignment with platform strategy and enterprise standards. Validate architectural proposals from the Tech Lead and developers; make final decisions when tradeoffs involve performance, scalability, or security. Collaborate with Data Platform and IT to ensure integration with infrastructure, storage layers, networking, and security models. Ensure the team follows architectural guidelines, technical roadmaps, and long-term evolution plans.  Execution, Delivery & Prioritization Lead the team’s delivery cycle, ensuring predictable and high-quality output. Oversee planning, estimation, and prioritization with the Tech Lead and Product Owner. Monitor technical risks, platform dependencies, and operational constraints; initiate mitigation actions proactively. Ensure production stability: performance, scalability, reliability, and incident response.  People Leadership & Team Development Provide continuous feedback, performance evaluations, and career development plans for each team member. Identify skill gaps and promote upskilling through coaching, mentoring, and training. Coordinate closely with P&C for hiring, promotions, team restructuring, and salary review proposals. Ensure a healthy team environment that fosters collaboration, accountability, and ownership. Collaboration & Cross-Functional Alignment Represent the team in discussions with Product, Data Platform, IT, Cybersecurity, AI/ML, and other stakeholder groups. Ensure all technical decisions remain aligned with organizational standards, data policies, and security requirements. Act as escalation point when architectural or delivery concerns arise. Communicate progress, risks, and decisions clearly to management and stakeholders.  Governance, Compliance & Quality Ensure adherence to coding standards, documentation practices, and architectural principles (together with the Tech Lead). Validate the team’s compliance with security and data-handling policies. Drive decisions related to technical debt, refactoring, and long-term maintainability. Ensure proper monitoring, alerting, observability, and operational readiness of the product. Required Skills & Experience Qualifications Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field 5–8+ years of experience in software engineering, including 3+ years in a similar leadership or Software Manager role Relevant certifications (optional but valuable): Cloud platforms (e.g., Azure, AWS) Architecture frameworks or software engineering certifications Agile/Scrum (e.g., Scrum Master, SAFe) Technical Skills Strong architectural understanding in the relevant stack (C#, .NET, backend services, cloud/on-prem infra, UI/WPF, etc.). Ability to model complex distributed systems, data flows, and integrations with platform services. Experience working with CI/CD, DevOps workflows, infrastructure layers, networking, and secure architectures. Ability to challenge, validate, and refine technical proposals from senior engineers. Leadership & Soft Skills Solid experience managing engineering teams. Strong stakeholder-management and communication skills across technical and non-technical groups. Strategic mindset combined with hands-on technical support when required. Ability to drive clarity, alignment, and accountability in complex, multi-team environments. Success Indicators A motivated and high-performing team with clear roles and responsibilities. Architectural consistency and reduction of long-term technical risk. Predictable delivery cadence and improved product stability. Effective alignment with DP, IT, Cybersecurity, AI/ML, and Product Management. Positive feedback from stakeholders and measurable improvement in team output.