Data Delivery Lead
hace 3 días
We are seeking a highly skilled Data Delivery Lead to join our Data, Analytics, and AI (DnAi) global team in Mexico City. As a senior member of our team, you will drive data strategy delivery for multiple project pods, leading high-performing Agile-first project teams to create data and infrastructure required to elevate internal data-driven decision-making capabilities and ensure best-in-class data-driven client experiences at Mercer.
Key Responsibilities- Lead high-performing Agile-first project teams to create data and infrastructure required to elevate internal data-driven decision-making capabilities and ensure best-in-class data-driven client experiences at Mercer.
- Work with business, operations, and technical partners to proactively enable business-driven data planning across a 3-5 year roadmap.
- Serve as a liaison between business stakeholders, operations, technology, and data teams to achieve high-impact business outcomes and ROI, focusing on value creation, growth, and customer service.
- Manage end-to-end delivery of a portfolio of data products.
- Demonstrate Agile expertise by deploying agile methodologies and maintaining an agile mindset within delivery teams.
- Monitor data portfolio and project risks, working with project teams and engineering heads to proactively mitigate risk.
- Coach and support project teams, be responsible for line management of project squad leads.
- Maintain data products in production, owning the Continuous Improvement backlog for the pod to deliver improvements in time to market, efficiency, and quality.
- Provide strategic guidance for data, analytics, and AI in existing systems to meet client needs.
- 10+ years leadership of high-performing technology and/or data teams.
- 7+ years' experience in agile delivery of data products and infrastructure build.
- Demonstrated excellence in stakeholder communication and relationship-building.
- Project budget, resource, risk, and reporting management.
- Deep understanding of Agile methodologies and practices.
- Solid knowledge of Data / BI / AI Engineering and Development, Architecture, Test Engineering, and Security best practices.
- Collaborative mindset and ability to work across teams, external vendors, and departments.
- Experience coaching and mentoring team members.
- A company with a strong brand and strong results to match.
- Culture of internal mobility, collaboration, and valued partnership from the business.
- Employee Resource Groups which provide access to leaders, relevant volunteer and mentoring opportunities and interactions with counterparts in industry groups and client organizations.
- Entitled to vacation, floating holidays, time off to give back to your community, sick days, and national holidays (with early dismissal).
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