Senior Manager, Data Engineering

Posted Yesterday
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Prague, CZE
In-Office
Senior level
Database • Business Intelligence
The Role
Leads a team of data engineers and advanced analytics professionals while designing scalable data platforms, pipelines, data models, machine learning solutions, and AI-driven products. Responsibilities include Python, SQL, Snowflake, and AWS development; predictive modeling; graph analytics; entity resolution; semantic search; dashboards; production deployment; and technical strategy. The role requires hands-on architecture, data management, statistical analysis, stakeholder collaboration, and people leadership.
Summary Generated by Built In
Overview

About the Role & Team


Senior Manager of Data Engineering 


IDC is seeking a highly skilled and motivated Senior Manager of Data Engineering & Advanced Analytics to lead the design, development, and scaling of advanced data-driven products. This role combines strong team leadership with deep hands-on expertise in data engineering, data management, and data modeling, along with a strong emphasis on advanced analytics, machine learning, and AI-driven solutions.


You will be responsible for building and leading a high-performing team while architecting and delivering scalable data platforms and intelligent data products. Working across large and complex datasets, modern data technologies, and cross-functional teams, you will play a key role in advancing IDC’s market intelligence and vendor data capabilities.


This is a senior leadership role for an experienced professional who can drive technical strategy, mentor teams, and remain actively engaged in solution design, data modeling, and advanced analytical methods.

What You’ll Do

  • Lead and develop a team of data engineers and advanced analytics professionals, fostering a culture of technical excellence and continuous improvement.
  • Design and deliver machine learning, AI, and advanced analytical solutions, including predictive modeling, forecasting, and complex data-driven use cases.
  • Architect and implement robust data management and data modeling frameworks to support scalable, high-quality analytics and AI applications.
  • Build and optimize data pipelines and workflows using Python, SQL, Snowflake, and AWS for data ingestion, transformation, and delivery.
  • Apply statistical, mathematical, and algorithmic techniques to solve complex business problems and generate actionable insights.
  • Prototype, test, and deploy end-to-end analytical and data solutions, from data engineering through to production deployment.
  • Develop tools and applications in Python for data processing, automation, and advanced modeling.
  • Create interactive dashboards and applications to enable data exploration and reporting.
  • Design and implement graph analytics, entity resolution, and semantic search capabilities.
  • Collaborate with global teams across engineering, product, and research to deliver high-impact solutions.
  • Provide technical leadership, define best practices, and guide architectural decisions across data and analytics domains.

What You Bring

  • BA/BS in Computer Science, Mathematics, Statistics, Data Engineering, or a related field; or equivalent experience (5+ years).
  • 5+ years of experience in data engineering, advanced analytics, machine learning, or related technical roles.
  • Proven experience in team leadership and people management, including mentoring and leading complex technical initiatives.
  • Strong expertise in data management, data modeling, and scalable data architecture.
  • Advanced proficiency in Python and SQL, with experience in Snowflake or similar database platforms.
  • Hands-on experience with AWS (data services, storage, compute, or analytics stack).
  • Demonstrated experience designing and deploying machine learning models and advanced analytical solutions in production.
  • Strong grounding in statistical analysis, predictive modeling, and algorithm development.
  • Familiarity with Generative AI, Large Language Models (LLMs), and modern AI frameworks.
  • Excellent problem-solving, communication, and stakeholder engagement skills.

Nice to Have:

  • Experience with AI tools, Generative AI, and Large Language Models (LLMs).
  • Experience building data quality frameworks, anomaly detection, and outlier detection solutions.
  • Familiarity with modern AI frameworks and experimentation workflows.

Why This Role Stands Out At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.

 Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.


 What We Offer

  • 5 weeks of holidays + extracorporate daysoff (23 Dec to 3 Jan & 19 Aug)
  • Sick days 
  • Remote or hybrid working set up
  • Certain flexibility to schedule your working hours 
  • Cafeteriasystem (use points on Flexipasses, pension/life insurance, or Multisport card) 
  • Meal allowance

 

Equal Opportunity Employer

IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify. #LI-PC 

Skills Required

  • BA/BS in Computer Science, Mathematics, Statistics, Data Engineering, or a related field, or equivalent experience
  • 5+ years of experience in data engineering, advanced analytics, machine learning, or related technical roles
  • Experience leading teams and managing people, including mentoring and leading complex technical initiatives
  • Expertise in data management, data modeling, and scalable data architecture
  • Advanced proficiency in Python and SQL
  • Experience with Snowflake or similar database platforms
  • Hands-on AWS experience with data services, storage, compute, or analytics
  • Experience designing and deploying machine learning models and advanced analytical solutions in production
  • Strong grounding in statistical analysis, predictive modeling, and algorithm development
  • Familiarity with Generative AI, Large Language Models, and modern AI frameworks
  • Excellent problem-solving, communication, and stakeholder engagement skills
  • Experience with AI tools, Generative AI, and Large Language Models
  • Experience building data quality, anomaly detection, and outlier detection solutions
  • Familiarity with modern AI frameworks and experimentation workflows

IDC Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IDC and has not been reviewed or approved by IDC.

  • Healthcare Strength Healthcare offerings are described as comprehensive, covering medical, dental, and vision. Disability and life insurance coverage is also outlined as meaningful income protection tied to base pay.
  • Retirement Support A 401(k) plan is described with an employer match structure that can add meaningful value to total rewards. This provides a clear retirement savings mechanism beyond base salary.
  • Leave & Time Off Breadth Paid leave provisions include parenting leave and broader paid time off elements. Additional recharge programs and recognition initiatives are positioned as supportive of work/life balance.

IDC Insights

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The Company
HQ: Framingham, MA
5,019 Employees

What We Do

IDC is the premier global provider of market intelligence, advisory services, and events for the information technology, telecommunications, and consumer technology markets. IDC helps IT professionals, business executives, and the investment community make fact-based decisions on technology purchases and business strategy. More than 1,300 IDC analysts provide global, regional, and local expertise on technology and industry opportunities and trends in over 110 countries worldwide. For more than 50 years IDC has provided strategic insights to help our clients achieve their key business objectives. IDC’s Insights businesses provide industry-focused advice for IT buyers in the Financial, Government, Health, Retail, Manufacturing and Energy verticals. IDC is a subsidiary of IDG, the world's leading technology media, research, and events company. . To learn more about IDC, please visit www.idc.com. Follow IDC on Twitter at @IDC and LinkedIn. Subscribe to the IDC Blog for industry news and insights

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