Digital Solutions Director

Job Description

• Enhance the data and analytics strategy practices, lead the transformation (and assure the ongoing relevance) of data and analytics strategy in collaboration with the Senior Leadership team. Institute an enterprise operating model that is consistent with the capabilities and competencies required to execute the strategy.
• Organize and lead a global data and analytics center of excellence, and constantly improve the organization’s capacity to enable development of insights with advanced analytics. Define members’ responsibilities and accountabilities for both. Define job roles, recruit candidates, and then lead (directly or indirectly) a team of data and analytics governance leaders and senior information management professionals in different regions and functions across a complex, international group enterprise.
• Take authority, responsibility and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the corporate leader of data based insights that help support the exploitation of strategic and tactical business opportunities. Be responsible for the development and deployment of the enterprise’s data and analytics platform for digital business.
• Proactively work with GOPS Management Team to establish the vision for leading data as a business asset — to exploit data using research and analytics to maximize the return on data assets. Develop methods to ensure consistent application and use of analytics. Establish the governance of data and algorithms used for analysis, analytical applications and automated decision making.
• Lead the development, publishing and maintenance of the organization’s information architecture, as well as a roadmap for its future development, ensuring that it matches and supports business needs.
• Expand the organization’s research and analytics offerings, especially in emerging analytical approaches, skills and technologies, focusing them on digital business innovation.
• Foster the creation of a data based culture, related competencies and data literacy across the enterprise.
• Supervise the integration and staging of data, and the development and maintenance of the data lakes, data warehouse and data marts, for use by analysts throughout the organization.
• Acts as an inspiring leader on emerging digital business models and technologies, articulating the digital future and the enterprise’s role in it internally and externally.
• Leads the process to identify and evaluate internal digital asset capabilities and strengths. Assesses external digital opportunities and threats as key inputs to making the best decisions on business strategy, given digital realities.
• Partner with the Senior Leadership team to scan the horizon for emerging management tools, skills, techniques and technologies. Work together to ensure their timely introduction for business advantage and to minimize duplication.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, Math or related field.
• 8-12+ years of equivalent experience in information technology; 8-12+ years in technical development and leadership roles on BI, Digital and Data Warehouse projects with significant experience in:
• Architecting and implementing ETL and data replication solutions that provide timely and accurate ingestion of data to data warehouses and data lakes
• Architecting and implementing contemporary back end data warehouse and data lake repositories that support reporting, analysis, exploration, visualization and machine learning
• Designing ‘tiers’ of information (hot, warm, cold) based on need and practical archiving strategies
• Designing and developing front end solutions for reporting, exploration, visualization and analysis, including self-service
• Designing and developing with Relational Reporting Tools
• In-depth knowledge of SAP data (S4 Hana and ECC 6) and modeling solutions in Power BI. Experience with data warehouses, predictive analytics and major programming/scripting languages like Python, R, Scala is preferred.
• Awareness and understanding of public data sets ability to ingest and integrate.
• Experience coordinating the development of architectural standards and road maps.
• Defining future state architecture, taking business to the next level and creating advantages for business. Demonstrable experience laying out technology roadmap connecting the dots with business needs.
• Communicating sophisticated technical and digital concepts to business executives using appropriate and relevant business language
• Building bottoms-up business cases to support the return on investment and intangible benefits of digital transformation initiatives

The Talent People 24C2589

Job Description

• Enhance the data and analytics strategy practices, lead the transformation (and assure the ongoing relevance) of data and analytics strategy in collaboration with the Senior Leadership team. Institute an enterprise operating model that is consistent with the capabilities and competencies required to execute the strategy.
• Organize and lead a global data and analytics center of excellence, and constantly improve the organization’s capacity to enable development of insights with advanced analytics. Define members’ responsibilities and accountabilities for both. Define job roles, recruit candidates, and then lead (directly or indirectly) a team of data and analytics governance leaders and senior information management professionals in different regions and functions across a complex, international group enterprise.
• Take authority, responsibility and accountability for exploiting the value of enterprise information assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the corporate leader of data based insights that help support the exploitation of strategic and tactical business opportunities. Be responsible for the development and deployment of the enterprise’s data and analytics platform for digital business.
• Proactively work with GOPS Management Team to establish the vision for leading data as a business asset — to exploit data using research and analytics to maximize the return on data assets. Develop methods to ensure consistent application and use of analytics. Establish the governance of data and algorithms used for analysis, analytical applications and automated decision making.
• Lead the development, publishing and maintenance of the organization’s information architecture, as well as a roadmap for its future development, ensuring that it matches and supports business needs.
• Expand the organization’s research and analytics offerings, especially in emerging analytical approaches, skills and technologies, focusing them on digital business innovation.
• Foster the creation of a data based culture, related competencies and data literacy across the enterprise.
• Supervise the integration and staging of data, and the development and maintenance of the data lakes, data warehouse and data marts, for use by analysts throughout the organization.
• Acts as an inspiring leader on emerging digital business models and technologies, articulating the digital future and the enterprise’s role in it internally and externally.
• Leads the process to identify and evaluate internal digital asset capabilities and strengths. Assesses external digital opportunities and threats as key inputs to making the best decisions on business strategy, given digital realities.
• Partner with the Senior Leadership team to scan the horizon for emerging management tools, skills, techniques and technologies. Work together to ensure their timely introduction for business advantage and to minimize duplication.

Job Requirements

• Bachelor’s degree in Computer Science, Information Technology, Math or related field.
• 8-12+ years of equivalent experience in information technology; 8-12+ years in technical development and leadership roles on BI, Digital and Data Warehouse projects with significant experience in:
• Architecting and implementing ETL and data replication solutions that provide timely and accurate ingestion of data to data warehouses and data lakes
• Architecting and implementing contemporary back end data warehouse and data lake repositories that support reporting, analysis, exploration, visualization and machine learning
• Designing ‘tiers’ of information (hot, warm, cold) based on need and practical archiving strategies
• Designing and developing front end solutions for reporting, exploration, visualization and analysis, including self-service
• Designing and developing with Relational Reporting Tools
• In-depth knowledge of SAP data (S4 Hana and ECC 6) and modeling solutions in Power BI. Experience with data warehouses, predictive analytics and major programming/scripting languages like Python, R, Scala is preferred.
• Awareness and understanding of public data sets ability to ingest and integrate.
• Experience coordinating the development of architectural standards and road maps.
• Defining future state architecture, taking business to the next level and creating advantages for business. Demonstrable experience laying out technology roadmap connecting the dots with business needs.
• Communicating sophisticated technical and digital concepts to business executives using appropriate and relevant business language
• Building bottoms-up business cases to support the return on investment and intangible benefits of digital transformation initiatives

The Talent People 24C2589