VP of Data Consulting

2 Months ago • 10 Years + • Data Analyst

Job Summary

Job Description

N-iX seeks a dynamic VP of Data Consulting to lead their Data Consulting GTM strategy, focusing on services like data platforms, data lakes, and data governance. This role involves managing a team of data architects, business analysts, and engineers, overseeing project delivery for Fortune 500 clients. Responsibilities include driving team activities (lead generation, pre-sales, project estimation), collaborating with other internal teams, enhancing data consulting offerings, providing mentorship, and managing P&L and budget. The ideal candidate possesses 10+ years of data engineering/consulting experience, 3+ years of technology management, and expertise in cloud data platforms (AWS preferred), big data technologies, and data governance.
Must have:
  • 10+ years Data Engineering/Consulting exp
  • 3+ years Technology Management exp
  • Cloud Data Platforms expertise (AWS)
  • Big data technologies, Data Governance
  • Lead & manage Data Consulting team
  • Develop & execute Data Consulting GTM strategy
  • P&L and budget ownership
Good to have:
  • Experience with GCP, Azure
  • Data Mesh, Data Monetization knowledge
  • AI/ML/CV/GenAI experience
Perks:
  • Flexible working format
  • Competitive salary & benefits
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

N-iX is one of the fastest-growing Ukrainian IT companies providing comprehensive software development services to a number of well-known international companies as well as European and US tech start-ups. Since 2002 we’ve delivered excellence in software engineering and deep domain expertise in finance, healthcare, hospitality, telecom and other industries, helping our clients to implement technology and business transformations.

Currently, N-iX seeks a dynamic VP of Data Consulting to join our CTO Office. This pivotal role combines technical consulting with team leadership, ensuring our team's capability to handle diverse data projects for Fortune 500 clients.

Key Responsibilities:

  • Develop and execute the Data Consulting GTM strategy, focusing on data services and data consulting offering (data platforms, data lakes, data warehouses, data governance, data strategy, data reporting and analytics, etc)
  • Scale and manage a high-performing team of data architects, business analysts and engineers to deliver advanced data solutions to various clients
  • Drive team activities, including marketing lead generation, technical pre-sales, project estimation, and short- and long-term technical consulting and implementation projects
  • Collaborate with Solutions & Cloud Team, AI/Gen AI Consulting Team, UX/UI Consulting Team, Security Team on joint offerings, pre-sales and implementation activities
  • Collaborate with marketing, engagement, delivery, partnerships, client management, and other internal teams for new client acquisition, successful solution delivery, and up-sales on existing accounts
  • Be prepared for occasional travel for conferences, client workshops, discovery phases,  pre-sales activities, and lead-generation events like conferences, round tables, etc.
  • Continuously enhance our Data and Analytics Consulting offerings, staying abreast of market needs and modern data trends
  • Provide mentorship and technology education to the Data Team and broader organization
  • P&L and budget ownership with corresponding KPI’s (team utilization, revenue, profit, win rate, attrition).

Qualifications:

  • 10+ years of extensive experience in Data Engineering and/or Data Consulting
  • 3+ years of Technology Management experience
  • Experience and deep knowledge in technology consulting business
  • Strong leadership and team management experience
  • Proven success in implementing data projects of different complexity, as a consultant, manager and/or individual contributor
  • Experience with consulting on data projects and working with diverse stakeholders, including C-level executives.

Technical Skills:

  • Expertise in data engineering, enterprise data architecture, and cloud data platforms (AWS is a big plus, GCP, Azure is good as well)
  • Proficiency in big data technologies, data governance, data warehouses, data lakes, ETL, BI, and analytics
  • Familiarity with modern data trends like Data Mesh and Data Monetization.
  • Experience with AI/ML/CV/GenAI is a plus.

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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