• Have an end-to-end view of the delivery of data from source to enterprise models and be responsible for the management of multiple development teams in a POD-based structure and ensure plans are in place to deliver on time, budget and with the required functionality for users.
• Ensuring that the solution we develop respects the key data modeling principles and are driven through an enterprise lens across all banners
• Review the availability of data and determine the table structures necessary for the delivery of each data domain.
• Review is necessary to ensure efficient development, performance, and reliability of the solutions.
• Manage the relationship with all the stakeholders of projects including business leaders, IT project teams, designers, developers, and other team members. 
• Liaison with IT for all data initiatives and act as the Product Owners of the enterprise model
• Responsible for building out a data team, including hiring, mentoring and managing junior team members
• Working within a team to triage and prioritize tasks
• Work alongside other departments and support data needs, as well as work cross-functionally on projects to ensure the right information is being captured and utilized
• Have a strategic input on data solution/strategy decisions, as well as the overall direction of the data function

Skills: Data Delivery Management, Team Leadership, Data Modeling Principles, Stakeholder Engagement, Strategic Data Planning, Cross-Functional Collaboration, Data Architecture Review, Task Prioritization and Triage

• Partner with the business lead to drive the data strategy. 
• Guide the team on the agreed strategy, data standards, data quality and governance thereby ensuring technical implementation is at all times aligned to the agreed strategy.
• Align the strategy and governance process to the business needs.
• Act as the point of escalation for technology issues, will handle risks, identify and resolve technical impediments and cross-team dependencies.
• Work with the SC Data team to define and agree viable technology options and to find opportunities to leverage. 
• Support the flow of information from generation to consumption, leveraging a variety of data platforms.
• Align the technology tools across the products to promote reusability, scalability and modularity. 
• Provide leadership in the field of data & technology architecture and will coach and mentor team members, drive continuous improvements and best practices' implementation.
• Stay updated and understand emerging trends related to application development and digitization and transform those insights into innovative ideas to further improve the services.
• Contribute to ensuring regulatory and compliance obligations for data management and records retention are met

Skills: Data Strategy Development, Governance and Standards Implementation, Risk Management and Issue Resolution, Technology Option Definition, Information Flow Optimization, Technology Alignment, Leadership in Data Architecture, Regulatory Compliance Oversight

• Operate internally, externally and internationally to contribute to the transformation of every stage of data and analytics across Decorator Centre business
• Define and manage data strategy including change agenda, moving from a variety of reporting silos to an integrated, shared resource that generates real strategic value
• Head a team of specialists focused on providing connections and insights on everything from operational performance and risk management to the Management Team’s strategy and vision
• Manage a wide range of stakeholders and shape central data strategy
• Working with data owners and group IM to agree consistent approaches to data definition, storage, extraction and management
• Devise and apply innovative modeling tools, develop standards and guidelines, and present research to senior colleagues
• Encourage the use of data to fuel evidence-based decisions in every facet of work and be at the heart of developing capability across colleagues.
• Identification of gaps with the Group Data Management Framework, making recommendations for a pipeline of work
• Identification of critical data, delivery of business & technical data lineage and working alongside the Data Office.
• Detailed end-to-end analysis to map out the data landscape and lineage and flows across systems to reconcile against the Records Retention Policy & Standards to define retention periods and data purging/disposal requirements

Skills: Data Transformation Leadership, Data Strategy Management, Team Leadership, Stakeholder Engagement, Data Governance Collaboration, Innovative Modeling Development, Evidence-Based Decision-Making Advocacy, Data Landscape Analysis

• Meet with the Data Governance Roles across the Company to evolve and maintain Data Glossary a its map to Data Catalogue.
• Constantly review current data-related technological strategy to promote its evolution.
• Maintain the Datalake as a product to deliver value to Data Citizens across the company.
• Be aware of data extractions of ingestions required and deliver them in an acceptable lead time.
• Help Data Business Analysts to enhance technical skills in terms of data.
• Lead data-related projects and initiatives to guarantee its success.
• Weekly report to CIO
• Promote a Data Governance structure along Business Units, and help on the definition of Data Glossary
• Continue evolving the Company’s Data Architecture based on Cloud Services.
• Help business units with data analysis, show the path they need to follow to module data, and leverage technology for analytical needs.
• Browse the Company’s data needs to promote and manage the data initiatives that will help achieve data-related goals.

Skills: Data Governance Management, Technological Strategy Review, Datalake Management, Data Extraction Coordination, Technical Skills Enhancement, Project Leadership, Executive Reporting, Data Architecture Evolution

• Primarily responsible for the initial creation and ongoing maintenance of master data, including inventory organizations, item masters, bill of materials (BOMs), routings, formulas, recipes, and other company master data as defined.
• Responsible for the development and implementation of standard operating procedures and work instructions centered around master data management and change control.
• Collaborate with cross-functional teams to gather information required for accurate and timely item master set-up.
• Drive continuous improvement opportunities for master data management to improve implementation and maintenance processes.
• Establish and drive metrics linked to the cycle time of new item setups, item updates, and the quality of data.
• Conduct root cause analysis on data defects and drive continuous improvement within the data management process to ensure accurate and timely access.
• Support ERP system upgrades and maintenance
• Support Supply Chain team with root cause investigations and corrective actions when necessary.
• Provide other support to Supply Chain organization

Skills: Master Data Management, Standard Operating Procedures Development, Cross-Functional Collaboration, Continuous Improvement Initiatives, Performance Metrics Establishment, Root Cause Analysis, ERP System Support, Supply Chain Support

• Experience in building data pipelines in data analytics implementations such as Data Lake and Data Warehouse
• Experience with the implementation of Cloud data engineering solutions in AWS
• Batch solution and distributed computing using ETL/ELT (Spark SQL/Spark Data frame/Hive /SQOOP)
• Experience in Big Data technologies (SQOOP, Hive, Spark, Impala etc..)
• Ability to partner closely with clients to deliver state-of-the-art outcomes through engineering solutions
• Clarity in articulation and communication with a diverse set of internal and external customers with varying degrees of technical proficiency to deliver critical business and process-related information to mitigate any risks or failures
• Ability to work in ambiguous situations with unstructured problems and anticipate potential issues/risks
• Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanisms to ensure data quality
• Ability to review technical deliverables, mentor and drive technical teams to deliver quality technical deliverables.
• Strong Data Engineer with Experience in AWS and Spark

Qualifications: BA in Data Science with 8 years of Experience

• Experience in growing client intimacy directly and with business development teams to become a trusted advisor to a client. 
• Experience in sales, pre-sales, or consulting and have a good understanding of Data & AI technologies and trends with some knowledge of the Microsoft ecosystem.
• Experience in consulting/advisory with a solid focus on Data & AI technology implementation, transformation and strategy.
• Client-facing experience during data/Data Science/AI implementations from innovation to industrialization.
• Good ability to translate business requirements and work with solution architects to translate into plausible technical solutions.
• Experience of advising and delivering data and AI projects e.g. data and analytics operating model design, data science, data governance, business case for data and analytics, or data trust and privacy.
• Experience in envisioning and defining Data & AI North Star, vision and roadmaps for clients as well as defining steps to become a data driven organisation.
• Good understanding of the realities of data within large enterprises and the challenges they face in gaining benefit from it.
• Strong understanding of the different methodologies and delivery approaches such as DevOps, Agile and Kanban.
• Business-level English and proficiency in Dutch

Qualifications: BS in Computer Science with 9 years of Experience

• Experience in a professional services corporation, with exposure to large platforms and applications in a technology development, testing and maintenance capability - 
• Experience with data management, such as daily operations of a data analytics and reporting platform
• Experience in a senior management role, with exposure to senior leadership of large corporations and accountability for major initiatives within the corporation or for clients
• Experience in existing relevant certification such as ITIL, DGSP, CIMP, CDMP from bodies such as ICCP Institute for Certification of Computing Professionals, DAMA Data Management Association
• Strong understanding of business process mapping, service level management, and RACI matrix
• Exposure to frameworks such as DevOps and DataOps
• Strong communication ability to interact with both business stakeholders and technical teams, speaking the right language to each and communicating at the appropriate level of detail
• Understand the concepts of data governance, being an advocate for the implementation and continuous application of governance principles and processes
• Experience in working with mapping datasets (e.g., OpenStreetMap, HERE, TomTom, and Zenrin)
• Experience in implementing location solutions, such as search engines, navigation systems, or online maps.

Qualifications: BA in Business Analytics with 10 years of Experience

• Experience using big data technologies (Delta lake, Hive, Spark, EMR, Databricks, Snowflake etc.) ideally in the Azure ecosystem
• Good understanding of data warehouse/data lake design patterns and best practices
• Systematic problem-solving approach, with effective communication skills and a sense of drive
• Experience with building data lake solutions, streaming analytics solutions and code development across environments (i.e. DevOps)
• Comfortable working directly with data analytics to bridge business requirements with data engineering
• Experience in software engineering best practices such as code reviews, testing frameworks, maintainability and readability
• Experience deploying applications into production environments e.g. code packaging, integration testing, monitoring, release management
• Strong understanding of Information Security principles to ensure compliant handling and management of client data
• Knowledge of ETL applications (Informatica) or other tools
• Experience with AI/ML capabilities or advanced data analytics tools

Qualifications: BS in Information Systems with 6 years of Experience

• Experience in data governance roles working with data policy, data dictionaries, and data lineage.
• Strong understanding of data, databases, data tools (e.g. SQL) and data processing experience.
• Demonstrated understanding of data architecture and database design.
• Experience with commercial data governance tools.
• Experience in Python and SQL
• Data Engineering/Development experience with SQL (Oracle, SQL Server, MySQL)
• Outstanding in interpersonal communications and a good team member
• Experience in leadership and have proven impactful analysis result
• Experience in data analytics
• Familiar with data visualization tools
• Ability to audit and maintain service metrics and KPI’s across multiple functions
• Experience and proficiency in the following packages such as Microsoft Excel and Word, multiple operating systems, and Databases.

Qualifications: BA in Mathematics with 7 years of Experience