Sr. Manager, Data Engineering

Driven to Deliver (What You'll Do)

• Own and drive our data products and analytics roadmap. Responsible for developing and implementing our data strategy, working cross-functionally with leaders across the business to identify and deliver analytics that drive business results.
• Drive the organization towards treating data as a product. Enable the rest of the organization by creating a foundational set of business dashboards, training users on BI tools, and ensuring data is well structured, clearly defined, and accessible.
• Lead, grow, and retain an expanded team of data engineers and analysts as part of the broader technology organization.
• Advocate new data sources, tools, and design paradigms.
• Work closely with marketing, product, and the executive team to rollout and launch data products.
• Present data strategy and key findings to executives and other departments.
• Enforce advanced data governance, security, lineage, and engineering practices.
• Collaborate with engineering groups on data and machine learning systems for automation and data enrichment capabilities.
• Keep pace with the latest developments in academia, regulatory environment, risk modeling methods, and the advertising/marketing industry in order to provide expert guidance to the business functions.

Equipped to Excel (Qualifications)

• On-site working at the ML physical office, 5-days per week required
• University Degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
• 5-8 years of experience in Data Engineering, with at least 3 years in a leadership or management role
• Proven expertise in machine learning, statistical modeling, and advanced analytics techniques
• Strong programming skills in Python, R, or similar languages, and experience with data science frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and cloud platforms (e.g., AWS, GCP, Azure)
• Demonstrated ability to lead and manage high-performing technical teams
• Excellent communication skills, with the ability to translate complex technical concepts to nontechnical stakeholders

Distinct by Design (What Sets You Apart)

• Strategic thinker with a passion for leveraging data to solve complex business problems
• Collaborative and inclusive leadership style, with a focus on mentoring and developing talent
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively
• Strong business acumen and understanding of how data science impacts organizational goals
• Proactive and innovative, with a commitment to staying ahead of industry trends and technologies