Job Description, Responsibilities & Requirements
About the Position
Join us as a Senior Data Delivery Manager and become the trusted Engagement Lead for enterprise-scale data and AI programs. You’ll steer engagements that modernize data estates, activate analytics, and embed AI-from the first strategic conversation through delivery and continuous value realization. Acting as the connective tissue between Sales, Delivery, Solution Architects, and client stakeholders, you’ll ensure data-led commitments translate into measurable outcomes and long-term partnerships.
Responsibilities
- Own end-to-end data engagements-from opportunity qualification and innovation workshops through solution shape, 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 that drive 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-connect 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, with clarity on 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-with support for 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
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 shape, 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 to translate 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
We Offer
- Opportunity to work remotely in Czech Republic or Slovakia
- Engaging in impactful data and AI projects
- Collaborative and innovative work environment
About the Company
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