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EPAM
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Senior Manager, Data Analytics and AI Consulting

EPAMAustralia, Melbourne; Australia, Sydney
Work model
Hybrid
Experience
5+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
14 tags

Technology context

14

Parsed from the vacancy text; ordered by relevance to this role.

AIAWSGenAIMachine LearningAzurePythonGCPCloudSparkSnowflakeDatabricksSQLCloud PlatformsData Technology Consulting

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Role description

Are you an experienced leader passionate about guiding enterprise data and AI transformations? As a Senior Manager, Data Analytics Consulting , you will partner with executives to shape data strategies and drive GenAI adoption. Join us to blend strategic advisory with thoughtful solution design.

Responsibilities

  • Lead AI and data consulting initiatives for clients, advising on strategy, data architecture, and AI adoption to drive business outcomes
  • Lead data, AI and digital transformation engagements for enterprise clients
  • Partner with senior stakeholders to define data strategies, roadmaps and AI adoption plans
  • Shape solutions across data platforms, analytics, AI/ML and GenAI use cases
  • Drive consulting delivery, proposals, solution design and client relationships
  • Collaborate with engineering teams to deliver scalable data and AI solutions

Requirements

  • Proven senior-level experience in data, AI, analytics and technology consulting
  • Track record of success in hands-on consulting and client-facing advisory roles
  • History of delivering measurable business results through technical delivery leadership
  • Deep understanding of data engineering, modern data platforms and cloud environments like AWS, Azure or GCP
  • Practical knowledge of data lakes, data pipelines, governance and advanced analytics
  • Expertise in designing AI, machine learning and generative AI solutions
  • Experience working with AI/ML tools and frameworks (e.g., generative AI, predictive analytics, LLMs) and applying them to real business use cases
  • Confidence engaging with executive stakeholders to shape long-term strategy and lead cross-functional teams

Nice to have

  • Background delivering large-scale enterprise AI transformation programs
  • Technical proficiency with Databricks, Snowflake, Spark, Python or SQL