Sr. Manager Data Engineering & Analytics

Upclear, Inc.
New York, NY, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$150,000.0 - $200,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow C Sharp (Programming Language) Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Systems Data Warehousing Python (Programming Language) Meta-Data Management Raw Data
+14 more
Power BI SQL Databases Systems Integration Tableau (Software) Technical Data Management Systems Azure Data Factory Snowflake Data Strategy Information Technology Data Analytics Data Management Databricks Web Api Programming Languages

Job description

We are hiring a Sr. Manager Data Engineering & Analytics to define our data strategy and build a high-performing data practice. You’ll design and 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 and hands-on execution. You’ll mentor engineers while shaping architecture, optimizing pipelines, and driving 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 (including data warehouse, ETL/ELT, and 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.
  • Oversee integration of disparate data sources into unified and 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.

Requirements

Do you have experience in Technology management?, Do you have a Master’s degree?, * Bachelor’s or Master’s Degree in Computer Science, Data Engineering, or a related field.

  • 8+ years of experience in data engineering, with 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 (e.g., Fabric, 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 (Power BI, Tableau)
  • Professional experience integrating in-house AI models and API calls to foundational models (OpenAI, Anthropic)
  • The ability to translate technical data models into business value.
  • Hands-on mindset: comfortable contributing technically while shaping the strategic direction.

Benefits & conditions

Pulled from the full job description

  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, This role requires 4 days on site collaboration per week. You must be able to commute to our West 22nd Street office in New York., WHY UPCLEAR ?
  • Be part of a growing global SaaS company, with offices in NYC, London, Paris, Singapore
  • Work on latest Cloud technology and build architecture for fast-growing Tech
  • Weekly happy hours, good office culture, global cross team collaboration, direct access to executive leadership for guidance.

UpClear employees have access to a range of competitive benefits, including *

  • Various Health Care Plans you can choose from to best fits your needs (Medical, Dental & Vision)
  • Retirement Plan with company match (401k, IRA)
  • Generous Paid Time Off package that grows with seniority (Vacation, Sick, and Public Holidays)
  • Paid Maternity leave
  • Paid Parental bonding leave
  • One month paid sabbatical after five continuous years of work at UpClear
  • Hybrid work model
  • Competitive Salary ($150K - $200K)

About the company

UpClear delivers a SaaS revenue management platform that is 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. Our growth is substantial and consistent; we have been on the Inc 5000 list of fastest growing private companies for eight years in a row. UpClear’s global headquarters is in New York City and we have satellite offices in London, Paris, and Singapore.

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