Principal/Director, Data Analytics Consulting (Financial Services)

Quick Facts

• Role: Principal/Director, Data Analytics Consulting (Financial Services)

• Focus: Data strategy, enterprise data & AI platform transformation, and program delivery oversight

Description

Lead Financial Services data and AI transformation initiatives as a trusted partner to C-level executives. Own the regional Financial Services data analytics offering, guide strategic engagements end-to-end (from vision and governance to adoption and delivery), and ensure solutions meet regulatory and compliance requirements. Contribute to RFP/RFQ/RFI responses, build long-term client relationships, and mentor next-gen consultants.

Responsibilities

• Partner with client executives on data strategy, enterprise-wide platform builds, and AI transformation from use-case selection to production adoption

• Evolve the Financial Services data & analytics offering and act as the regional go-to person

• Own RFP/RFQ/RFI responses, including winning strategy, structure, and executive-level storytelling

• Manage the FS project portfolio and provide delivery oversight for key engagements

• Build and maintain long-term relationships centered on value delivery

• Lead initial engagement phases: set program vision and success criteria, form the team, and establish governance

• Advise delivery teams on financial-sector regulatory and compliance requirements, including controls and evidence for AI-enabled solutions

• Coach and mentor next-gen consultants in Financial Services data & analytics

Requirements

• 15+ years of experience in data, analytics, and technology consulting with leadership roles (Senior Manager/Director or equivalent)

• Proven track record leading large-scale data and AI transformation programs and advising C-level stakeholders

• Deep understanding of banking/financial services: data models, processing systems, operating models, and key business KPIs

• Knowledge of regulatory/compliance frameworks: Basel 3.1 / CRR3, BCBS239, AML/AFC, DORA, EU AI Act, and model risk management

• Expertise with modern data platforms and implementation experience in AWS, Azure, or GCP

• Familiarity with Databricks and other enterprise data platforms

• Strong data architecture and management expertise: data modeling, governance, lineage, observability, real-time processing

• Ability to translate business challenges into data and AI solutions; advise on strategy, feasibility, risks, and value realization

• Experience with modern AI capabilities: Machine Learning, RAG, Agentic Systems, and multimodal AI

• Understanding of AI governance: human oversight, explainability, auditability, and deployment in regulated environments

• Proven experience in discovery phases, defining governance frameworks, and delivering complex enterprise data programs

• Ability to establish target operating models, align stakeholders, and oversee end-to-end transformation delivery

• Strong computer science fundamentals: algorithms, data structures, search technologies, distributed systems

• Advanced English (C1) with exceptional written and verbal communication

• German language skills are a strong plus

Benefits

• Career development programs and mentoring

• Thought leadership, soft skills, and well-being programs

• Certifications (Anthropic, Gemini, GCP, Azure, AWS)

• English classes

• Stable pay; Employee Stock Purchase Plan with a 15% discount

• Benefits package (health insurance, multisport, shopping vouchers)

• Referral bonuses up to $2,000

• Hybrid-by-design with remote work opportunity within Poland; chance to work abroad up to 60 days annually

• Business-driven relocation opportunities