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Senior Manager, AI & Data Consulting - Financial Services
- 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 postingDefine AI and data strategies, target architectures and operating models for financial clients
Independently lead complex consulting engagements from problem definition through delivery
Lead multidisciplinary consulting and engineering teams and own delivery quality
Define data governance frameworks, semantic layers and target data architectures
Shape proposals, client opportunities and follow-on engagements
From the employer’s posting
define AI and data strategies, shape target architectures and operating models
Independently lead complex consulting engagements from problem definition through delivery
Lead multidisciplinary consulting and engineering teams and take accountability for delivery quality and client outcomes
Define data governance frameworks, operating models, semantic layers and target data architectures
Shape proposals, client opportunities and follow-on engagements
What you’ll bring
All qualificationsCore experience
- Extensive experience in data strategy, data architecture, AI enablement or related consulting
- Strong track record delivering complex data or AI programs for financial institutions
- Fluency in German and English
- Strong knowledge of enterprise data architecture, governance and modern data platforms
- Commercial experience in solution shaping, proposals and business development
Qualification wording
Extensive experience in data strategy, data architecture, AI enablement or related consulting roles
Strong track record delivering complex data or AI programs for financial institutions
Fluency in German and English
Strong knowledge of enterprise data architecture, governance and modern data platforms
Commercial experience in solution shaping, proposals and business development
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
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
656 open jobs
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Where the posting names them
We are looking for a Senior Manager, AI & Data Consulting – Financial Services (m/f/d) to help leading financial institutions turn their AI ambitions into measurable business value. You will work with senior business and technology leaders to define AI and data strategies, shape target architectures and operating models, and lead complex transformation engagements. This is a senior client-facing role requiring strong consulting judgement, financial services experience, technical credibility and the ability to independently own client engagements. Responsibilities Advise financial services clients on AI and data strategies linked to business outcomes Independently lead complex consulting engagements from problem definition through delivery Translate business, regulatory and technology challenges into actionable roadmaps Lead senior stakeholder workshops across data readiness, governance, architecture and AI enablement Define data governance frameworks, operating models, semantic layers and target data architectures Provide leadership across metadata, lineage, data quality, observability and data products Lead multidisciplinary consulting and engineering teams and take accountability for delivery quality and client outcomes Build trusted relationships with senior business and technology stakeholders Shape proposals, client opportunities and follow-on engagements Mentor consultants and architects within the practice Requirements Extensive experience in data strategy, data architecture, AI enablement or related consulting roles Strong track record delivering complex data or AI programs for financial institutions Strong knowledge of enterprise data architecture, governance and modern data platforms Good understanding of AI, generative AI and the data foundations required for enterprise AI adoption Experience with data governance, metadata, lineage, quality, semantic models and data products Ability to combine executive-level strategy discussions with architecture and implementation topics Proven ability to independently lead client engagements and make decisions in ambiguous situations Strong stakeholder management, communication and team leadership skills Commercial experience in solution shaping, proposals and business development Fluency in German and English Relevant university degree or equivalent professional experience Nice to have Data mesh and federated governance experience Semantic technologies, ontologies or knowledge graphs AWS, Azure or GCP experience Databricks, Snowflake or similar platforms Experience with generative or agentic AI solutions Relevant architecture, cloud or data management certifications
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
Already applied? Track this application
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
We are looking for a Senior Manager, AI & Data Consulting – Financial Services (m/f/d) to help leading financial institutions turn their AI ambitions into measurable business value. You will work with senior business and technology leaders to define AI and data strategies, shape target architectures and operating models, and lead complex transformation engagements. This is a senior client-facing role requiring strong consulting judgement, financial services experience, technical credibility and the ability to independently own client engagements. Responsibilities Advise financial services clients on AI and data strategies linked to business outcomes Independently lead complex consulting engagements from problem definition through delivery Translate business, regulatory and technology challenges into actionable roadmaps Lead senior stakeholder workshops across data readiness, governance, architecture and AI enablement Define data governance frameworks, operating models, semantic layers and target data architectures Provide leadership across metadata, lineage, data quality, observability and data products Lead multidisciplinary consulting and engineering teams and take accountability for delivery quality and client outcomes Build trusted relationships with senior business and technology stakeholders Shape proposals, client opportunities and follow-on engagements Mentor consultants and architects within the practice Requirements Extensive experience in data strategy, data architecture, AI enablement or related consulting roles Strong track record delivering complex data or AI programs for financial institutions Strong knowledge of enterprise data architecture, governance and modern data platforms Good understanding of AI, generative AI and the data foundations required for enterprise AI adoption Experience with data governance, metadata, lineage, quality, semantic models and data products Ability to combine executive-level strategy discussions with architecture and implementation topics Proven ability to independently lead client engagements and make decisions in ambiguous situations Strong stakeholder management, communication and team leadership skills Commercial experience in solution shaping, proposals and business development Fluency in German and English Relevant university degree or equivalent professional experience Nice to have Data mesh and federated governance experience Semantic technologies, ontologies or knowledge graphs AWS, Azure or GCP experience Databricks, Snowflake or similar platforms Experience with generative or agentic AI solutions Relevant architecture, cloud or data management certifications
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Germany
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.