Director, Engineering - Data & Insights

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director, Engineering - Data & Insights based in United States. This role offers the opportunity to lead a global engineering organization responsible for building scalable data platforms and insights solutions that power critical business decisions. You will define and execute the technical vision for data engineering while managing high-performing teams in a fast-paced SaaS environment. The position combines strategic leadership, hands-on technical understanding, and cross-functional collaboration with product, business, and executive stakeholders. You will drive innovation through modern data architectures, AI-enabled workflows, and operational excellence across distributed engineering teams. This is a high-impact leadership role where you will shape engineering culture, improve development practices, and deliver solutions at significant scale. You will help build reliable, intelligent data products that support businesses operating across complex commerce ecosystems worldwide. \n Accountabilities: As the Director of Engineering - Data & Insights, you will oversee engineering strategy, team development, and the delivery of scalable data-driven solutions. You will be responsible for aligning technical initiatives with business objectives, improving engineering practices, and fostering a culture of ownership and innovation. Lead and manage multiple software engineering teams, ensuring alignment with organizational goals, delivery expectations, and technical priorities. Develop and mentor engineering managers and senior engineers, supporting leadership growth, career progression, and team performance. Build, recruit, and retain diverse, high-performing engineering teams capable of delivering impactful SaaS solutions. Define and communicate long-term technical strategies for data platforms, engineering architecture, and product scalability. Partner with executive leadership to translate business objectives into actionable engineering roadmaps and initiatives. Collaborate with product management teams to prioritize development efforts, allocate resources, and ensure successful delivery. Oversee the design and development of advanced data solutions, including scalable architectures, data pipelines, and analytics platforms. Drive improvements in engineering processes, including agile methodologies, continuous delivery, automation, and operational excellence. Promote a proactive engineering culture focused on reliability, ownership, and solving customer-impacting challenges. Ensure teams follow best practices around software development, testing, scalability, security, and service-oriented architecture. Manage engineering budgets and resources while balancing business needs, technical investments, and operational efficiency. Communicate technical progress, risks, and outcomes to leadership teams and ensure alignment across stakeholders. Collaborate with customers, partners, and external stakeholders when needed to provide technical guidance and ensure successful delivery. Requirements: The ideal candidate is an experienced engineering leader with a strong background in SaaS platforms, data engineering, and team management. You should combine technical depth with strong leadership skills and the ability to operate effectively in a dynamic, AI-driven environment. 10+ years of experience in software development, preferably within SaaS or large-scale technology environments. Proven experience leading and scaling engineering teams, including hiring, mentoring, and developing engineering leaders. Strong expertise in data engineering, including data warehouse architecture, ETL/ELT pipelines, and data lake patterns. Experience with AWS data services and cloud-based architectures. Advanced SQL skills with analytical query engines such as Redshift, BigQuery, or similar technologies. Familiarity with streaming and near-real-time data processing technologies such as Kafka, Kinesis, or equivalent solutions. Demonstrated ownership of data quality, governance, schema management, and scalable data solutions. Experience managing the complete software development lifecycle for enterprise SaaS applications. Strong understanding of distributed systems, scalable architectures, and fault-tolerant software development. Experience working with agile methodologies such as Scrum or Kanban. Ability to leverage AI tools such as ChatGPT, Copilot, or Claude to improve productivity, documentation, analysis, and engineering workflows. Excellent written and verbal communication skills in English, with the ability to engage technical and executive audiences. Ability to work core business hours aligned with the US Eastern Time zone. Bachelor’s degree or higher in Computer Science or a related technical field is preferred. Experience with e-commerce, retail, digital marketplaces, or commerce technology environments is a plus. Familiarity with Databricks, medallion architecture, BI platforms such as Tableau, Looker, or Power BI, and modern AI/data tooling is beneficial. Benefits: Competitive base salary range of $175,000 - $328,000 USD annually, depending on experience, skills, qualifications, and location. Discretionary bonus opportunity of 15% of annual base salary. Comprehensive medical, dental, and vision coverage starting on Day 1. Company contributions toward Health Savings Accounts (HSA). 6% 401(k) company match. Generous paid time off package, including: 20 days of PTO. 9 company-paid holidays. 2 floating holidays. 7 paid sick days. 2 wellness days. 1 paid volunteer day. Increased PTO allowance based on tenure milestones. Paid caregiver leave, including 12 weeks for primary caregivers and 4 weeks for secondary caregivers. Accident, critical illness, and hospital indemnity insurance. Life insurance coverage equal to 2x salary. Pet insurance and legal assistance programs. Identity theft protection benefits. Access to wellness resources, including mental health support programs. Remote work flexibility with a monthly internet stipend. Career development opportunities and tuition assistance. Team-building activities and inclusive company culture. Charitable contribution matching program. \n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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