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Data Strategy Lead
2 months ago
Job Summary
Stealth iT Consulting is seeking a highly skilled Data Operating Model Expert to join our rapidly growing Data & AI Strategy team. As a key member of our team, you will play a central role in designing and building winning strategies and operating models to transform the way in which organizations across all industries and sectors leverage data & AI.
About the Role
You will be responsible for assisting clients in utilizing data and AI to effectively drive business outcomes. This will involve working with clients to define their strategic objectives, and then building a picture of the requisite data & analytical capabilities required to realize those strategic objectives.
Key Responsibilities
- Designing Effective Data Operating Models: You will play a central role in designing effective data operating models, covering all components required to deliver an effective data & AI capability.
- Providing Guidance and Advisory Services: You will provide guidance and advisory services to clients on a wide range of data & analytics capabilities at all points of the data & analytics value chain.
- Collaborating with Stakeholders: You will work with stakeholders at all levels of the organization to assess the maturity of existing data capabilities, identifying opportunities for re-use and corresponding gaps in capability.
- Developing Blueprints for Operating Models: You will overlay these findings against the strategic objective analytics to develop blueprints for an organization's operating model.
- Implementing and Monitoring Operating Models: You will work collaboratively with clients to overcome the barriers to success, utilizing communication, training and persuasion to bring individuals on the journey and to equip them with the skills they need to be a part of its success.
- Integrating Ethical and Responsible Data Practices: You will spearhead the integration of ethical and responsible data practices into operating models, ensuring compliance with regulatory requirements and ethical standards.
- Contributing to Practice Development: You will contribute to the development of our practice by identifying new market opportunities, creating innovative offerings, and creating thought leadership content.
Requirements
- Organizational Design Experience: You have experience in organizational design, with a deep understanding of what makes data teams effective, from data product development teams to market-leading Chief Data Offices.
- Knowledge of Data & Analytics Delivery Models: You have a detailed knowledge of the different delivery and deployment methodologies for data teams, such as agile data product development, AI/MLOps and AnalyticsOps.
- Understanding of Business Architecture: You understand the importance of effective alignment of data & analytics teams with existing or to-be business architecture, designing data & analytical teams to integrate seamlessly with the rest of the organization and any relevant third parties.
- Knowledge of the Data Value Chain: You will be able to define and adapt the end-to-end data lifecycle from data acquisition / creation to exploitation / consumption, though to deletion / archival.
- Understanding of Data Tooling: You will have a good understanding of the different types and purposes of data & analytical tooling and platforms available.
- Excellent Communication: You will have an excellent track record of communicating with stakeholders from across our client organizations, being comfortable presenting to and debating with C-suite, end-users, and technical stakeholders.
- Strategy Development and Implementation: You have experience collaborating with clients and colleagues to define strategic goals for data and analytical capabilities.
- Understanding of Scaling Data Analytics and AI: You will understand how data analytics operations are scaled within an organization, from the design and build of small-scale proof of values transitioning to fully automated data analytics pipelines with advanced AI and ML use cases which serve thousands of customers.