Sr. Manager Data Engineering & Analytics

Sr. Manager Data Engineering & Analytics

UpClear delivers a SaaS revenue management platform used by some of the most recognizable consumer goods brands in the world. Our system supports Trade Promotion Management, Trade Promotion Optimization, Integrated Business Planning and Revenue Management. We serve more than 80 brands in over 30 countries and operate from our global headquarters in New York City with satellite offices in London, Paris and Singapore.

We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high‑performing data practice. You will design, operate scalable data platforms, establish governance and quality standards, and partner with business and product leaders to turn data into decisions. This role blends leadership with hands‑on execution—you will mentor engineers, shape architecture, optimize pipelines and drive reliable, accessible data across the company.

• Define and implement the data strategy, architecture and roadmap aligned with company objectives.
• Establish best practices for data management, quality and governance across the organization.
• Partner with business, product and engineering leaders to translate data into actionable insights and scalable systems.
• Build, lead and mentor a multidisciplinary data team (data engineering, analytics).
• Design, develop and maintain scalable data architectures and pipelines (data warehouse, ETL/ELT, data models).
• Oversee data visualization and reporting infrastructure to ensure reliable, consistent insights across teams.
• Bridge data engineering and analytics functions, ensuring alignment between raw data pipelines and business intelligence outputs.
• Integrate disparate data sources into unified, reliable data platforms.
• Ensure high performance, availability and accuracy of data systems across environments and regions.
• Remain hands‑on with key technologies (SQL, cloud data tools) as needed to accelerate implementation.
• Evaluate and introduce new technologies and practices that enhance data quality, governance and observability.
• Implement robust data governance frameworks, policies and compliance standards.
• Establish and monitor data quality KPIs and SLAs.
• Support operational and executive reporting initiatives with clean, well‑modeled data.

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering or a related field.
• 8+ years of experience in data engineering, including 3+ years in a leadership or management role.
• Proven experience building and scaling data teams and platforms from early stage to maturity.
• Experience managing both data engineers and analysts or working across both functions.
• Strong understanding of modern data stack technologies (eg, dbt, Snowflake, Azure Data Factory, Databricks, Airflow).
• Expertise in SQL and at least one programming language (Python, C#, etc.).
• Experience with data governance, lineage and metadata management tools.
• Strong understanding of analytics workflows and BI tools (Tableau, Power BI).
• The ability to translate technical data models into business value.
• A hands‑on mindset, comfortable contributing technically while shaping strategic direction.

• Competitive salary ($150K – $200K).
• 401(k) with company match, IRA, healthcare plans (medical, dental, vision).
• Generous paid time off (vacation, sick, public holidays).
• Paid maternity and parental leave, 1‑month paid sabbatical after five years.
• Hybrid work model.
• Weekly happy hours, collaborative office culture and global cross‑team collaboration.
• Direct access to executive leadership for guidance.