About the role
Job Description
The Senior Manager, Digital and Data bridges the gap between technical data teams, digital platforms, and commercial/business leadership. Will oversee digital product/platform roadmaps, data governance, analytics infrastructure, and AI-enabled decision support tools. This role is pivotal in turning complex data streams into actionable business strategies and scalable digital experiences.
Leadership & Team Management: Lead, mentor, and grow a team of application engineers, product owners, and support specialists; establish performance goals, conduct reviews, and foster an inclusive, Agile-driven culture.
Application Lifecycle & Strategy: Own the multi-year roadmap, architectural vision, and continuous improvement plan for enterprise digital applications (web, mobile, and cloud-hosted systems).
Cross-Functional Collaboration: Partner with business stakeholders, product managers, security teams, and creative groups to translate business requirements into scalable technical solutions.
Agile & Delivery Excellence: Ensure software development life cycle (SDLC) and Agile/Scrum best practices are strictly followed, overseeing sprint planning, code quality, release management, and security protocols.
Budget & Vendor Management: Manage software budgets, resource allocations, third-party vendor relationships, and SaaS licensing contracts to maximize ROI and operational efficiency.
Performance & Reliability: Monitor application uptime, performance metrics, and user feedback to resolve bottlenecks proactively and ensure high availability.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, Data Science, Business Analytics, or a related quantitative field 8+ years of experience in data analytics, digital transformation, or data-driven consulting, including 3+ years in a management or leadership capacity
Additional Information
Technical Proficiency: o Strong command of data querying and management tools (e.g., SQL, Python, relational/cloud databases). o Experience with Business Intelligence and visualization platforms (e.g., Power BI, Tableau, Google Analytics). o Familiarity with modern cloud ecosystems (e.g., Azure, AWS) and AI/automation applications. o Deep familiarity with Agile/Scrum methodologies and delivery tracking tools (e.g., Jira, Azure DevOps).
Core Competencies: Exceptional stakeholder communication, project management (Agile/Scrum methodologies), and strategic problem-solving skills. o Strong understanding of modern web/mobile architectures, APIs, microservices, and enterprise security/compliance standards (e.g., SOC2, GDPR, SOX).
o Working knowledge of data analytics, user experience (UX/UI) principles, and emerging generative AI productivity tools.