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