Tech Manager, Data Engineering - AI and Support
About The Position
The Tech Manager, Data Engineering leads the development, governance, and delivery of scalable data products that advance Macy’s enterprise technology and business strategies. The role ensures teams build high-quality, reliable data pipelines and solutions for analytics, data science, and business operations. It establishes engineering best practices, encourages cross-functional collaboration, and drives improvements in data accessibility, integrity, and innovation across the organization. The manager hires, mentors, and coaches engineering talent; guides architecture and technical strategy; and defines priorities and delivery approaches across assigned data engineering portfolios or domains. The role oversees pipelines, integrations, ETL processes, and data quality frameworks while ensuring compliance with governance standards and enterprise architecture guidelines. It also fosters an inclusive, respectful, collaborative, and product-focused engineering culture grounded in Agile practices.
Requirements
- Advanced proficiency in Python, SQL, and modern ETL/ELT frameworks.
- Ability to guide engineering direction, improve team performance, and foster cross-functional alignment.
- Skill communicating complex technical concepts clearly to business partners and senior leadership.
- Ability to prioritize and execute initiatives that advance enterprise technology and business objectives.
- Experience applying Agile methodologies to support iterative development, transparency, and predictable outcomes.
- Curiosity about emerging technologies and the ability to inspire teams to adopt innovative approaches.
- Ability to ensure adherence to data governance standards and enterprise architecture guidelines while maintaining high-quality pipelines.
- Ability to cultivate a collaborative, product-focused engineering culture.
- Bachelor’s degree or equivalent work experience in a related field.
- At least 8 years of experience building comprehensive cloud-based data pipelines in a large organization.
- At least 2 years leading cross-functional projects.
- Ability to perform essential job functions involving communication, collaboration, office and computer systems, reviewing written and electronic information, and moving within the work environment and interacting with workplace materials.
- Ability to work a flexible schedule based on department and company needs.
Responsibilities
- Hire, mentor, and coach engineering talent to build strong, high-performing teams.
- Guide teams in aligning architectures, standards, and technical strategies with enterprise frameworks.
- Cultivate a collaborative, product-focused engineering culture grounded in Agile practices.
- Define priorities, strategies, and delivery approaches across assigned data engineering portfolios or domains.
- Oversee the execution of data pipelines, integrations, ETL processes, and data quality frameworks.
- Ensure compliance with data governance standards and enterprise architecture guidelines.
- Foster acceptance and respect, strengthening relationships and authentic connections with colleagues, customers, and communities.
- Perform other duties as assigned.
Benefits
- Competitive pay and benefits
- Comprehensive health and wellness coverage
- 401(k) match
- Paid time off
- Eight paid holidays
- Continuous learning and leadership development
- Colleague Resource Groups
- Volunteer opportunities
- Merchandise discounts
- Performance-based incentives
- Annual merit review
- Employee Assistance Program with mental health counseling and legal/financial advice
- Tuition reimbursement
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What This Job Offers
Job Type
Full-time
Career Level
Manager
