Sr. Manager Data Engineering & Analytics

Posted 3 Days Ago
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New York, NY, USA
In-Office
150K-200K Annually
Senior level
Software
The Role
The Sr. Manager of Data Engineering & Analytics will define data strategy, oversee a data team, and build scalable data platforms, ensuring data quality and governance.
Summary Generated by Built In

ABOUT UPCLEAR

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.

POSITION OVERVIEW

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. 

Please note: We are not able to provide sponsorship for employment authorization at this time.

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.

RESPONSIBILITIES 

  • 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
  • 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

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)

The salary range listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future. When determining a team member's base salary several factors may be considered as applicable including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority.

Skills Required

  • 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.
  • 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.
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The Company
HQ: New York, NY
73 Employees
Year Founded: 2007

What We Do

UpClear is a global Enterprise Software provider for Consumer Goods brands. Our cloud-based BluePlanner software is a best-in-class Revenue Management platform supporting Integrated Business Planning, Pricing, Trade Terms and Trade Promotion Management, Analytics and Insights. We serve clients in over 25 countries across America, Europe, Asia, and Africa from our offices in New York, London, Paris, Hong Kong, and Australia. Clients and brands we work with include Beyond Meat, Blue Buffalo, Blue Diamond Growers, Community Coffee, Danone, Essentia Water, Ferrero, Godiva, Jelly Belly, Hovis, King Arthur Baking Company, King’s Hawaiian, Kraft-Heinz, LALA, Lundberg Family Farms, Perfetti Van Melle, Reckitt Benckiser, Twinings, Vita Coco and Warburtons.

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