Senior Manager of Data & Analytics

At Southland, our team delivers trusted, secure, and scalable data platforms that empower the organization with reliable insights and self-service analytics. We focus on building high-quality data solutions that enable informed decision-making, business intelligence, and AI-driven innovation.

The Manager of Data & Analytics is responsible for leading the organization's Data & Analytics team, delivering scalable, secure, and enterprise-grade data solutions that enable business decision-making and support the company's digital and AI strategy. This role provides leadership across people management, delivery execution, stakeholder engagement, data engineering, business intelligence, and continuous innovation.

The Manager of Data & Analytics will lead a team of data engineers, analytics developers, BI developers, and contractors while partnering closely with business stakeholders, Enterprise Architecture, IT, and AI teams to ensure data platforms are modern, governed, scalable, and AI-ready.

This leader is expected to cultivate a culture of accountability, engineering excellence, continuous learning, and innovation while ensuring the team consistently delivers high-quality solutions that meet business needs and align with enterprise standards.

• Lead, mentor, coach, and develop a high-performing Data & Analytics team.
• Conduct regular one-on-one meetings, performance reviews, career development discussions, and coaching sessions.
• Establish clear goals, priorities, and performance expectations.
• Foster a culture of accountability, collaboration, ownership, innovation, and continuous improvement.
• Manage internal staff and contractors, including work assignments, performance, budgets, and vendor relationships.
• Recruit, hire, onboard, and retain top technical talent.
• Encourage knowledge sharing and cross-training to reduce single points of failure.

• Lead the successful delivery of enterprise data and analytics initiatives from defined business requirements through production.
• Prioritize Data & Analytics work based on established business priorities and strategic objectives.
• Remove roadblocks and proactively manage project risks.
• Hold the team accountable for quality, timelines, and delivery outcomes.
• Monitor progress and communicate status, risks, and dependencies to leadership and stakeholders.
• Ensure successful production deployments and ongoing operational support.
• Oversee the development and delivery of enterprise Power BI dashboards and reports.
• Establish reporting standards and best practices.
• Oversee Microsoft Fabric, Power BI, SQL Server, Azure SQL, data warehouses, lake houses, semantic models, and enterprise
• Prioritize work based on business value and strategic objectives.

• Leads with accountability and ownership
• Drive enterprise architecture and engineering best practices.
• Challenge the team to build scalable, reusable, maintainable, and automated solutions
• Promote data modeling, performance optimization, data governance, Git, code reviews, CI/CD, automation, and Dev Ops practices.
• Identify data, analytics, and AI opportunities that improve efficiency and business outcomes
• Lead data and analytics capabilities that enable enterprise AI initiatives.
• Evaluate emerging technologies and drive innovation across data and analytics.
• Develop team skills through training, certifications, proof-of-concepts, and continuous learning.
• Manage relationships with technology vendors and implementation partners.
• Oversee platform licensing, support, upgrades, and roadmap planning.
• Collaborate with Enterprise Architecture, Infrastructure, Security, and Application teams to align integration strategy with business objectives.
• The successful candidate:
• Leads…