Senior Manager, Data Analytics and AI Consulting

EPAM Systems

Sydney

On-site

AUD 180,000 - 240,000

Full time

37 hours ago
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Benefits offered by this job

Great Place To Work-Certified 2024
Mentoring programs
Access to online courses & libraries

Job summary

EPAM Systems in Sydney is seeking a Senior Manager, Data Analytics Consulting to guide enterprise data and GenAI transformations. You will partner with executives, shape data strategies and lead solution design to drive measurable business outcomes.

You’ll lead data, AI and digital transformation engagements for major clients, collaborating with senior stakeholders to define roadmaps and adoption plans, while delivering scalable, high-impact solutions.

Qualifications

  • 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 with AI/ML tools and frameworks and applying them to real business use cases.
  • Confidence engaging with executive stakeholders to shape long-term strategy.

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

Skills

Senior-level consulting
Data analytics
AI & GenAI
Executive stakeholder engagement
Cross-functional leadership
Solution design
Delivery leadership
Cloud platforms
Data engineering

Tools

Databricks
Snowflake
Spark
Python
SQL

Job 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
We offer
  • By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023.
  • Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
  • You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
  • We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
  • At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.
Life at EPAM
  • We are a leading global provider of digital platform engineering and development services that has rapidly grown in Australia since 2013.
  • We adopt a global growth strategy, thinking and acting like start-ups, working in multi-disciplinary teams, and delivering results. With a multinational talented team, we have been delivering innovative solutions for cloud migration, cyber security, digital transformation, etc.
  • You will work in an open and friendly work environment where your professional skills and experience can stand out.
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