Senior Data Delivery Manager (Engagement Lead)

Our requirements

• 8+ years of experience in IT services, consulting, or digital delivery with a sustained focus on data platforms, analytics, AI/ML, data migration, or data governance programs
• Proven ability to lead multi-stream data engagements for enterprise clients, with orchestration of cross-functional and globally distributed teams
• Demonstrated success in data-focused presales and solution shaping, with alignment of business value, data strategy, and delivery economics
• Excellent stakeholder management, communication, negotiation, and escalation skills in English (B2+ required); additional languages are a plus
• Systems-thinking mindset with the ability to connect sales, delivery, operations, and data value realization
• Strong understanding of data architecture patterns, governance, quality, privacy/compliance, and how they translate into delivery plans and operating models
• Experience in translation of data strategy into actionable roadmaps, KPIs, and execution plans while balancing stakeholder priorities
• Working knowledge of modern data platforms and toolchains (e.g., Azure/AWS/GCP analytics services, Databricks, Snowflake, Power BI/Tableau, dbt, MLOps practices)—sufficient to challenge assumptions, guide conversations, and support technical teams

Your responsibilities

• Own end-to-end data engagements—from opportunity qualification and innovation workshops, through solution shaping, delivery, stabilization, and account expansion. Outcome: Data programs delivered on time, within budget, and aligned to agreed business outcomes
• Become a strategic data advisor to executive sponsors, business owners, IT leaders, and Chief Data/Analytics Officers across our global enterprise client base (Europe, the Americas, LATAM, APAC). Outcome: Expansion of client relationships through new or extended data & AI initiatives to help identify and shape
• Lead client communication and governance: set cadence, run steering committees, negotiate scope, manage expectations, and resolve escalations. Outcome: Recognition as a trusted data advisor, with your recommendations driving a measurable impact on client strategies and platforms
• Drive business value in initiatives such as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformations
• Frame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation roadmaps
• Partner with Sales and Solution Architects during presales to shape delivery models, define data capabilities, and architect scalable approaches for complex data ecosystems
• Ensure seamless deal-to-delivery transitions, clarifying scope, governance, team structure, and execution plans grounded in data operating best practices
• Validate SOWs and commercials to ensure feasibility, profitability, and alignment with client data goals
• Coordinate multiple delivery streams across data engineers, data scientists, analytics specialists, data architects, product owners, and fellow Delivery Managers—in support of both mature data organizations and greenfield team buildouts. Outcome: High-performing, data-focused delivery teams that operate within governance models you design and continuously refine
• Establish and run delivery governance with data-centric KPIs, risk frameworks, quality gates, and escalation paths—with best practices applied across modern cloud and analytics ecosystems
• Spot and cultivate growth opportunities through recommendations on data capability roadmaps, platform optimizations, and AI/analytics extensions
• Contribute to account strategy and presales, mentor junior Delivery Managers, and foster a consultative, data-first culture focused on business outcomes

About the project

This is how we work on a project

• Continuous Deployment
• Continuous Integration

What we offer

Development opportunities we offer

• conferences in Poland
• development budget
• external training
• industry-specific e-learning platforms
• intracompany training
• mentoring
• soft skills training
• space for experimenting
• substantive support from technological leaders
• support of IT events
• technical knowledge exchange within the company

Benefits

• private medical care
• life insurance
• flexible working time
• fruits
• integration events
• retirement pension plan
• no dress code
• video games at work
• coffee / tea
• parking space for employees
• leisure zone
• employee referral program
• charity initiatives

Recruitment stages

• 1.
  Recruiter Interview (30 min)
• 2.
  Technical Interview (90 min)
• 3.
  Manager Interview (60 min)
• 4.
  Meeting with the Project Team or Client (60 min, optional)
• 5.
  Welcome Aboard!

EPAM Systems (Poland) sp. z o.o.