Senior Engineering Manager - Machine Learning Data Enablement

For our client, we are seeking a Senior Engineering Manager - Machine Learning Data Enablement to join the team of a leader in the Finance & Insurance space. This leader will own the strategy and execution for the data foundations that power machine learning initiatives across the organization. The role will focus on strengthening production data pipelines, improving data quality, and enabling faster, more reliable movement from data evaluation to production. You will partner closely with engineering and ML stakeholders to build scalable infrastructure, clear operating standards, and better visibility into the data lifecycle. Location: Remote - US based candidates only, no visa sponsorship available Compensation: $195,000 – $270,000 annually Responsibilities Build and lead a high-performing team focused on data integration and ML-critical infrastructure Set and execute a technical strategy to improve data evaluation velocity and time to production Drive the development of data quality frameworks and monitoring practices to prevent issues post-launch Promote data contracts and SLAs to ensure clear ownership and quality standards among data producers Establish end-to-end ownership across the data lifecycle to eliminate fragmented workflows Accelerate onboarding of third-party data through standardized intake and integration processes Unlock internal data potential by improving metadata coverage and discoverability Qualifications Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience, plus 8 years of engineering experience including 3 years of people management experience Experience owning production data pipelines for both offline training and online inference Proven background in building and scaling data systems with modern tech stacks, including Databricks/Spark, Python, SQL, and AWS Demonstrated ability to manage complex cross-functional initiatives involving engineering and ML stakeholders Experience designing and enforcing data quality frameworks for production systems Benefits Competitive compensation package including base pay, bonuses, and quarterly equity grants 401(k) plan with a generous company match of $2 for every $1 contributed, up to $15,000 annually Employee Stock Purchase Plan (ESPP) with discounted options available Comprehensive health coverage including medical, dental, and vision insurance Paid family and parental leave for caregiving and significant life events Employee Assistance Program (EAP) offering mental health support and resources Annual wellness and productivity allowances for professional and personal development Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.