Data Delivery Manager | Senior Management

Wymagania

• Practical experience and expertise in Data & Analytics, Big Data, and related technologies, with a focus on platforms such as Data Warehousing and Business Intelligence

• Proven experience in data platform engineering, with knowledge of ingestion, storage, processing, and integration (batch and streaming)

• At least 5 years of experience translating customer business requirements into Data & Analytics technological solutions

• Familiarity with multiple technology stacks, toolsets, and frameworks such as Python, LLMs, and predictive analytics

• Advanced understanding of AI/ML integration into complex data projects, including GenAI algorithm applications

• Strong background in data governance, privacy, compliance, and ethical AI considerations

• Experience with cloud providers (AWS, Azure, GCP) and leading on-premises-to-cloud migration initiatives

• Knowledge of data security and best practices to mitigate potential risks

• Ability to execute technical projects from inception to completion, including managing complex systems integrations

• Proficiency in data visualization tools and techniques, with experience interpreting complex data for business insights

• Solid understanding of Agile methodologies such as Scrum, Kanban, and hybrid approaches

• Strong leadership and communication skills, demonstrating the ability to present ideas to both technical and non-technical audiences

• Ability to manage multiple cross-functional projects in a fast-paced environment

Zakres obowiązków

• Own end-to-end solution delivery for assigned accounts, ensuring successful project outcomes

• Serve as the single point of accountability for delivery-related matters, including escalations, resource planning, and account roadmap alignment

• Oversee governance processes and ensure adherence to selected delivery models

• Build and maintain technical leadership by ensuring architecture meets quality standards and aligns with the client’s business goals

• Manage client engagements, including addressing issues, managing risks, and fostering long-term relationships

• Coordinate efforts between various disciplines and stakeholders to ensure project alignment

• Develop and manage delivery plans, including the estimation of resources, timeframes, and quality expectations

• Drive customer accountability and responsibilities in project execution

• Guide proposal creation, bids, and statements of work to support sales efforts

• Apply delivery methodologies (e.g., Agile) to ensure projects are executed to industry standards

• Implement strategies for continuous risk management throughout the project lifecycle

• Spearhead technology utilization across data-related implementations, ensuring cutting-edge solutions are utilized

• Deliver key performance outcomes via metrics such as delivery quality, team growth, and technology proficiency

Seniority

• Senior Management

Mile widziane

• Expertise in integration architecture and large-scale solution design

• Familiarity with emerging AI/ML models and trends

• Experience executing greenfield project implementations

• Background in data mining, data modeling, and advanced predictive analytics techniques

• Capability to lead teams in exploring the newest Data & Analytics tools and strategies

Opis

We are seeking a detail-oriented and dynamic Data Delivery Manager with expertise in Data & Analytics to lead and manage end-to-end solution delivery. In this role, you will collaborate with cross-functional teams and build strong relationships with clients, bringing technical leadership and data-driven innovation to life. Your work will help shape cutting-edge technologies, ensuring quality delivery and continuous improvement. Responsibilities Own end-to-end solution delivery for assigned accounts, ensuring successful project outcomes Serve as the single point of accountability for delivery-related matters, including escalations, resource planning, and account roadmap alignment Oversee governance processes and ensure adherence to selected delivery models Build and maintain technical leadership by ensuring architecture meets quality standards and aligns with the client’s business goals Manage client engagements, including addressing issues, managing risks, and fostering long-term relationships Coordinate efforts between various disciplines and stakeholders to ensure project alignment Develop and manage delivery plans, including the estimation of resources, timeframes, and quality expectations Drive customer accountability and responsibilities in project execution Guide proposal creation, bids, and statements of work to support sales efforts Apply delivery methodologies (e.g., Agile) to ensure projects are executed to industry standards Implement strategies for continuous risk management throughout the project lifecycle Spearhead technology utilization across data-related implementations, ensuring cutting-edge solutions are utilized Deliver key performance outcomes via metrics such as delivery quality, team growth, and technology proficiency Requirements Practical experience and expertise in Data & Analytics, Big Data, and related technologies, with a focus on platforms such as Data Warehousing and Business Intelligence Proven experience in data platform engineering, with knowledge of ingestion, storage, processing, and integration (batch and streaming) At least 5 years of experience translating customer business requirements into Data & Analytics technological solutions Familiarity with multiple technology stacks, toolsets, and frameworks such as Python, LLMs, and predictive analytics Advanced understanding of AI/ML integration into complex data projects, including GenAI algorithm applications Strong background in data governance, privacy, compliance, and ethical AI considerations Experience with cloud providers (AWS, Azure, GCP) and leading on-premises-to-cloud migration initiatives Knowledge of data security and best practices to mitigate potential risks Ability to execute technical projects from inception to completion, including managing complex systems integrations Proficiency in data visualization tools and techniques, with experience interpreting complex data for business insights Solid understanding of Agile methodologies such as Scrum, Kanban, and hybrid approaches Strong leadership and communication skills, demonstrating the ability to present ideas to both technical and non-technical audiences Ability to manage multiple cross-functional projects in a fast-paced environment Nice to have Expertise in integration architecture and large-scale solution design Familiarity with emerging AI/ML models and trends Experience executing greenfield project implementations Background in data mining, data modeling, and advanced predictive analytics techniques Capability to lead teams in exploring the newest Data & Analytics tools and strategies

Słowa kluczowe / Umiejętności