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Remote Data Engineering Manager – Customer Care AI & Analytics

Remote role Full-time Open position

Job Summary Chewy is seeking a highly skilled and strategic Remote Data Engineering Manager to lead our Customer Care AI & Analytics team. In this role, you will drive the design, development, and optimization of data pipelines and platforms that enable actionable insights for our customer care operations. You will collaborate closely with data scientists, business analysts, and cross-functional teams to leverage AI and analytics for enhancing customer experiences. The ideal candidate thrives in a fast-paced environment, has strong technical expertise, and possesses proven leadership experience in building high-performing data teams.

Key Responsibilities

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Lead and mentor a team of data engineers, ensuring high-quality delivery of scalable data solutions for Customer Care AI & Analytics.

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Design, implement, and maintain robust data pipelines, ETL processes, and data architectures to support AI models and analytics initiatives.

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Collaborate with data scientists and business stakeholders to translate business requirements into technical solutions.

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Ensure data quality, consistency, and governance across all customer care platforms.

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Drive continuous improvement of data infrastructure, processes, and tools to support AI-driven insights.

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Evaluate, recommend, and implement modern data engineering technologies and best practices.

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Develop and maintain documentation for data architecture, processes, and workflows.

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Monitor team performance, set objectives, and provide professional development guidance.

  • Required Skills and Qualifications
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Proven experience leading data engineering teams in a fast-paced environment.

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Strong expertise in designing, developing, and optimizing ETL pipelines and large-scale data architectures.

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Hands-on experience with cloud platforms (AWS, GCP, or Azure) and modern data engineering tools.

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Proficiency in SQL, Python, or other programming languages relevant to data engineering.

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Solid understanding of AI, machine learning workflows, and analytics frameworks.

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Experience with data modeling, warehousing solutions, and real-time data processing.

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Strong problem-solving, analytical, and communication skills.

  • Experience
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Minimum 7–10 years of experience in data engineering or related fields.

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At least 3–5 years in a leadership or managerial role.

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Experience in customer care analytics, AI, or e-commerce data platforms is highly preferred.

  • Working Hours
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Full-time, remote position.

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Standard business hours with flexibility to accommodate team collaboration across time zones.

  • Knowledge, Skills, and Abilities
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Strategic thinking and ability to align technical solutions with business goals.

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Ability to lead cross-functional teams and influence stakeholders at all levels.

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Strong organizational skills with the ability to prioritize multiple initiatives.

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Passion for data quality, governance, and leveraging analytics to drive customer satisfaction.

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Comfortable with ambiguity and able to drive results in a rapidly changing environment.

  • Benefits
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Competitive salary and performance-based bonuses.

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Comprehensive health, dental, and vision coverage.

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401(k) with company match.

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Generous paid time off and holidays.

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Remote work flexibility with a focus on work-life balance.

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Professional development opportunities and career growth.

  • Why Join Chewy?

At Chewy, we are committed to delivering exceptional experiences for pets and their parents. You will join a collaborative, innovative, and data-driven culture where your expertise directly impacts customer satisfaction and business growth. As part of our AI & Analytics team, you will work on cutting-edge solutions that transform how we understand and serve our customers.

How to Apply

To apply for the Remote Data Engineering Manager – Customer Care AI & Analytics role, please submit your resume and cover letter via our official careers portal: Chewy Careers. Highlight your leadership experience, technical expertise, and accomplishments in data engineering and analytics. Apply tot his job Apply To this Job

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