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Senior Manager, Data Analytics and AI Consulting
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingAdvise enterprise clients on data strategy, architecture and AI adoption
Define data strategies, roadmaps and AI adoption plans with senior stakeholders
Shape solutions across data platforms, analytics, AI/ML and GenAI use cases
Drive consulting delivery, proposals and client relationships
Collaborate with engineering teams to deliver scalable data and AI solutions
From the employer’s posting
advising on strategy, data architecture, and AI adoption to drive business outcomes
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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- GCP
- Snowflake
- Spark
Source — Tool mentions in context
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
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Australia
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- Work authorization
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