Data Analytics Engineering Manager - Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Analytics Engineering Manager in the United States.

This role is ideal for a seasoned data leader with a strong combination of technical expertise and people management skills. You will oversee a high-performing team responsible for data engineering, data quality, and architecture, ensuring that data assets are accurate, accessible, and aligned with strategic goals. This position offers the opportunity to drive the organization’s data strategy, partner with cross-functional leaders, and influence enterprise-wide analytics initiatives. The ideal candidate thrives at the intersection of business and technology, translating complex data requirements into actionable solutions. You will manage both the tactical delivery of analytics projects and the strategic direction of data governance and architecture. Strong communication, leadership, and problem-solving skills are critical to success in a dynamic and highly regulated environment. This role provides a platform to shape analytics practices, mentor team members, and advance your career in data leadership.

Accountabilities:

• Lead and manage a cross-functional team of data engineers, solution architects, and analysts, ensuring high performance and career development.
• Oversee day-to-day operations for data engineering, data quality services, and architecture projects, driving successful delivery across the organization.
• Define and implement measurement criteria and operational metrics aligned with organizational objectives.
• Establish and enforce data governance and quality standards across business intelligence data assets.
• Partner with IT and business leaders to align data strategy with technology roadmaps and business needs.
• Lead the development and maintenance of enterprise data platforms, reference architectures, and tools to support analytics and reporting.
• Facilitate communication between technical and business stakeholders, translating requirements and technical constraints effectively.
• Champion data stewardship, change management, and education on analytics and data management best practices.

• Bachelor’s Degree with 10+ years of relevant experience, or Master’s Degree with 8+ years, or equivalent experience combining education and work.
• Minimum 3 years of direct leadership experience managing employees in data, analytics, or technology functions.
• Extensive experience in data systems architecture, data warehousing, and data modeling; strong understanding of analytics and reporting lifecycles.
• Proven ability to lead complex projects and deliver operational results across organizational boundaries.
• Strong knowledge of data governance, quality management, and regulatory compliance in a healthcare or highly regulated environment.
• Excellent interpersonal, communication, and stakeholder management skills, with the ability to convey technical concepts to non-technical audiences.
• Experience managing budgets, resource allocation, and departmental strategic objectives.
• Preferred: experience in matrixed organizations and leading large-scale enterprise data initiatives.

• Competitive compensation based on experience and qualifications.
• Flexible remote work arrangements within eligible U.S. states.
• Comprehensive healthcare, dental, and vision coverage.
• Paid time off, holidays, and parental leave programs.
• Professional development opportunities and career advancement.
• Participation in data and analytics education initiatives.
• Supportive environment promoting collaboration, mentorship, and leadership growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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