Job Description:
Data Strategist and Translator
Summary
We are seeking an experienced Data Strategist and Translatorto co-ordinateour Data Driven Decision Making transformation workstream. You will be responsible foroverseeing the strategic use of data andfacilitating the creation of data products, in a programme that efficiently and effectively delivers continuous evolution and improvement that increases data literacy and maturity across the organisation. The primary focus is on the data content,ensuring that it is fit for purpose for business decision making, proactive performance monitoring and operational excellence. This role requires a strategic thinker with aninterestin data-driven decision-making, storytelling, data quality and governance, data analytics and data architecture.
The role will be supported by experienced data consultants, translators, architects and engineers from our Consulting, Data & AI and Engineering practices.
Job Profile
1. Facilitate data-driven decision-making across the organisation by providing insights and recommendations based on data analysis.
2. Input into the data strategy of the organisation.
3. Collaborate with senior leaders and stakeholders to identify opportunities for leveraging data to drive business innovation and growth.With an ability to articulate analytics proposition to business stakeholders. (E.g. End-to-end storyboarding)
4. Understand how data impacts the organisation – this includes data content investigation for good data quality, datatransformation and interpretation of data, with good skills in data administration, design and architecture.
5. Lead data discovery to achieve fit for purpose for decision making.
6. Understand data as a product concept.
7. Facilitateandexplore workstream decision making and define business requirements with an ability to translate desired business outcomes to data solutions. Understanding Human-Machine Teaming and validating of user interface design that is fit for purpose.
8. Assist in project/programme management and coordinating cross-workstream resources, working closely with blended team of business, data and IT.
9. Ability to facilitaterequired technical input into delivery of data solutions.
10. Oversee the design and implementation of data architecture and data infrastructure.
11. Ability to assess the data maturity of the organisation and work with senior leaders to improve it (refer to UK Data Maturity Framework).
12. Help to improve data literacy of the organisation and understand data as a product concept.
13. Accountable for ensuring that Data and AI investments deliver direct, measurable value to the business.
Basic Qualifications
14. Bachelor's degree or equivalent combination of education and experience in information science, data management, computer science or related field preferred
15. Demonstrate an ability to develop and implement data strategies that drive business outcomes.
16. Advanced capability in interpreting and translating requirements for contextual decision making, delivered across complex data landscapes.
17. Experience working with industry standards, guide governance,regulations and guidelines in data management.
18. Experience working with modern data and AI/MLtechnologies to deliver self-service solutions for business decision making, operational / process efficiencies and proactive performance management.
19. Experience in facilitatingworkshops with senior business leaders, data content experts and technologists tosolicitneeds, challenge hypotheses and create a common vision.
20. Comfortable working with and translating across multi-functional business areas using a common language, providing the ‘glue’ between business, data content, and technical.
Other Qualifications
21. Advanced communication skills to communicate with customers, team members, external data providers and management
22. Good skills in data administration, design and architecture
23. Analytical thinker and creative problem solver
24. Enthusiastic and confident to present ideas and motivate others to drive change
25. Comfortable working with multi-discipline delivery teams across different geographies
26. Pragmatic, ‘can do’, continuous evolution attitude, focused on delivering business value quickly
Work Environment
27. Virtual first with some travel