Lead technical aspects of the delivery of Master Data Management solutions and related components (Data Services and Information Steward), working across business/technology teams to ensure alignment between business solution definition and systems architecture for your organization.

More Uses of the Data Strategies Toolkit:

  • Oversee development teams in deploying and validating of Data Strategies and understanding concerns as provenance, discovery, entitlement and performance of data delivery.
  • Confirm your organization builds relationships across the Business and IT organization that foster collaboration and partnerships to drive better strategies, priorities and service to the Business.
  • Methodize: partner with business engagement leadership, service line directors and others to develop high level business cases and manage expectations about service cost, quality, risk, metrics, delivery and lifecycle requirements.
  • Secure that your organization provides product and/or process subject matter resource expertise necessary to support design, development, testing and execution of technology solutions.
  • Be certain that your organization serves as an advanced data technology expertise in design efforts, proof of concept (POC) exercises, analysis of solutions, performance tuning/testing and interfaces for new software deliverables or for making significant enhancements to existing ones.
  • Identify, assess and solve complex business problems for area of responsibility, where analysis of situations or data requires an in depth evaluation of master data.
  • Manage work with enterprise data management team to develop, implement and manage Data Strategies for each franchise that optimizes the data quality and improves standardization.
  • Oversee: design and execute the policies, practices, and procedures that support data quality, data security, data governance, data standardization, integration, and managing risks.
  • Lead: implement business and IT Data requirements through new Data Strategies and designs across all data platforms (relational, dimensional, and nosql) and data tools (reporting, visualization, analytics, and machine learning).
  • Coordinate: work closely with the engineering teams throughout the development process in ensuring best practices and technical soundness (scalability, reliability, performance, security) for data engineering.
  • Manage: own definition, implementation and tracking key performance indicators to measure the effectiveness of the material master data models, processes and changes implemented.
  • Manage work with owners and users/analysts across the customer operations to modify or implement new repeatable and reliable businesses processes to improve and sustain effective data governance resulting in improved quality and consistency of data used to drive key business decisions.
  • Lead team meetings and knowledge sessions to share new strategies for targeting campaigns and to provide feedback on platform and data performance.
  • Ensure you command; developed in collaboration with industry leading owners and operators, your scheduling, point of sale, and conversation platform was carefully designed to drive revenue, automate workflows, and convert customers from visitors into valuable, long term clients.
  • Collaborate with IT teams, external providers and business owners in translating business requirements into a technical implementation plan and roadmap.
  • Manage work with project managers, other architects, and delivery teams to effectively manage the data solution across initiatives to ensure an optimal, high level, conceptual data design.
  • Establish: client governance, risk, compliance and security specialists to ensure the data architecture and practices conform and support broader organizational risk and compliance management.
  • Manage work with planners to provide guidance on how data can be utilized to inform annual planning insights and work with the team to help inform how data integration evolves the planning process.
  • Ensure your organization designs data integrations and data quality framework and work closely with internal partners to develop strategy for long term data platform architecture.
  • Develop framework for the business units collection use, sharing and disclosure of data taking into consideration the data, operational, reputational and partnership related requirements for the business.
  • Ensure you charter; lead delivery of data analytics and data science client engagements; ensuring the data strategy and measurement framework align, and securing client approval and driving adoption.
  • Ensure you are able to articulate the value of modern data technology approaches to business executives and build key relationships with platform teams to ensure delivery.
  • Provide key insights based on data analytics to aid the client in drawing conclusions as to the business value and impact of the data and best approaches for migrating and transforming data to support new system architectures.
  • Audit: an agile mindset that moves past blockers and a vision to iteratively migrate to the next/modern set of architecture capabilities with a lens of business benefits/value.
  • Gather data requirements to create and maintain entity relationship models and logical and physical data models that conform to existing standards and conventions.


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