Data Engineering Manager – Customer Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee the development and upkeep of top-tier solutions for the designated product group.

• Ensure successful delivery, manage team talent, and oversee roadmapping.

• Conduct data-driven analyses to pinpoint opportunities for enhancing products and user experiences.

• Manage and implement comprehensive digital programs and initiatives utilizing agile and design-thinking methodologies.

• Create digital training and leadership development programs.

• Formulate digital strategy and spearhead digital-enabled business transformation projects.

• Handle a portfolio of projects and provide updates to senior management.

• Establish quality assurance methods, tools, and programs.

• Contribute to or formulate budget plans.

• Identify, analyze, and address cybersecurity incidents and vulnerabilities.

• Communicate and execute team strategies and business objectives.

• Recognize development needs and offer training or coaching.

• Oversee and report on team performance; set goals and implement corrective measures.

• Manage work programs employing product management processes and protocols.

• Foster partnerships, collaborate across teams, and cultivate talent.

⛳️ Requirements

• Master's Degree or an equivalent qualification is preferred.

• 6 to 10 years of extensive general work experience with comprehensive job-related expertise.

• 13 months to 3 years of managerial experience overseeing and guiding personnel and resources.

• Proficiency in customer data and analytics.

• Familiarity with omni-channel identity resolution.

• Experience with data science models aimed at activating personalization campaigns.

• Broad and deep experience in providing direction and guidance in data engineering.

• Proficiency in Google BigQuery, Snowflake, and Databricks.

• Experience in modeling complex data.

• Background in leading data engineering teams as a manager.

• Experience in planning and managing resources to achieve defined objectives.

• Experience leading teams of contractors in both onshore and offshore engagements.

• Experience in managing, mentoring, and advancing the careers of data engineers.

• Cameras must be on during all virtual interviews.

• AI tools are prohibited during any part of the interview process.

🏝️ Benefits

• Competitive total rewards package.

• Incentive opportunities.

• Equity options.

• Comprehensive benefits package.

• Compliance with state-paid leave requirements.

• A generous suite of benefits.

• Background check including ID verification for job offers.