Lead Data Architect
Join to apply for the Lead Data Architect role at Kanzlei Ganz Gärtner Lindberg Slania.
We’re looking for a Lead Data Architect to join our Technology Strategy and Architecture practice. This strategic role deals with data holistically across an organisation. Lead Data Architects drive digital transformation from a data perspective, supporting clients to define the vision for data in their organisation. They ensure that data is managed properly through data landscaping, data cataloguing, data design, and data standards.
You will bring a pragmatic and user‑centered approach to data architecture, ensuring that data architecture, governance, processes and technologies meet the needs of users and stakeholders.
In This Role, You Will
- Guide and support clients to define a data strategy aligned with the broader organisational strategy.
- Discover and document client data ecosystems and design future‑state enterprise data architecture.
- Champion, set standards, design governance, and define ways of working for data.
You will operate as a trusted advisor, liaising with senior client stakeholders. You will collaborate with multidisciplinary teams across design, data engineering, technology, and delivery, lead smaller engagements or play a senior role on larger ones, and be the source of oversight and advice on data for the wider team and the client. You also support development of junior colleagues while contributing to practice improvement and business development.
Responsibilities
- Collaborate with client stakeholders to design data strategies aligned with organisational strategy and goals.
- Analyse client data landscapes, document current‑state data systems, and conduct Data Maturity Assessments, mapping data assets, information flows and user needs.
- Design interoperable data models and solutions to meet client needs, advising on selection and implementation of data products and tools.
- Develop data standards, create data catalogues, and design governance processes to maintain data quality and usability.
- Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities.
- Create documentation, visual artefacts and architecture diagrams including data landscapes, data flows, and catalogued data products.
- Develop prioritised roadmaps to implement data strategy, including options appraisals and evidence‑based recommendations.
- Advise on data capabilities and operating models, providing support to build data literacy where necessary.
- Advise on AI adoption, assessing AI readiness and guidance on data to support AI implementation.
- Develop and maintain strong client relationships, building trust with senior stakeholders.
- Communicate complex technical information to non‑technical stakeholders both in‑person and through a variety of media.
- Lead project workstreams or small/medium client work in data‑related engagements, managing uncertainty and ambiguity on behalf of clients and our teams.
- Lead by example, holding responsibilities for an inclusive team culture and ensuring projects deliver the most impact and value to our clients.
- Contribute to continual development of our technology and data practice, mentoring or line‑managing junior consultants and contributing to internal learning.
- Contribute to business development and marketing activities, providing input into bids and proposals with a focus on data‑related content.
- Maintain a strong understanding of emerging trends and technologies in the data space.
About You
Professional knowledge and experience.
Essential
- Successful track record of designing data architecture and data models.
- Experience developing and reviewing data architecture artefacts such as data landscapes, enterprise conceptual models, and data flow diagrams.
- Proven experience implementing data governance and overseeing data lifecycles.
- Experience designing, implementing, or evaluating organisational data strategies.
- Strong verbal and written communication skills and experience presenting technical concepts and recommendations to both technical and non‑technical audiences.
- Demonstrable knowledge of a wide range of data solutions, common data platforms, emerging data technologies, and an understanding of common constraints and considerations.
- Understanding of common data modelling patterns and standards and when to apply them.
- Experience in a consultancy setting, demonstrating adaptability and responsiveness to client needs and working with stakeholders at multiple levels across the organisation.
- Experience facilitating workshops, interviews, or training with senior business stakeholders.
- Champion of user needs and user research in the context of data strategy.
- Committed to personal and professional development, staying abreast of industry trends.
- A technology‑ and platform‑agnostic perspective.
- Strong written and oral communication skills.
- Aware of the priorities and challenges of public sector and charity sector organisations, preferably with experience working in or with public sector organisations.
- Experience leading projects or teams.
Desirable
- Setting data standards.
- Experience working in diverse, remote, and multi‑disciplinary teams.
- Experience with agile methodologies.
- Experience line‑managing or mentoring junior colleagues.
Skills
- Communicating between technical and non‑technical stakeholders to interpret and negotiate needs.
- Strategic thinking to define and evaluate strategies.
- Turning complex data into clear and well‑understood solutions.
- Data innovation to identify opportunities for adopting innovative approaches or tools.
- Data governance – defining data governance and assurance for clients.
- Data lifecycle – understanding and applying governance over a data lifecycle.
- Metadata management – understanding and promoting the use of metadata repositories.
- Data modelling – producing relevant data models across multiple subject areas.
- Data standards – refining, developing, applying, and setting data standards.
Behaviours and PACT values
- Purpose: Be values‑driven, recognising that our client’s needs are paramount. Approach client engagements with professionalism and creativity, balancing commercial and operational needs.
- Accountability: Be accountable for delivering your part of a project on time and under budget and working well with other leaders. Lead by example, promoting a culture where quality and client experience are foremost.
- Craft: Balance multiple priorities while leading high‑performing teams. Navigate ambiguity and set the technical direction and approach to support positive outcomes.
- Togetherness: Collaborate effectively with others across TPXimpact. Build strong relationships with colleagues and clients.
Benefits Include
- 30 days holiday + bank holidays.
- 2 volunteer days for causes that you are passionate about.
- Maternity/paternity – 6 months maternity leave, 3 months paternity leave.
- Life assurance.
- Employer pension contribution of 5 %.
- Health cash plan.
- Personal learning and development budget.
- Employee assistance programme.
- Access to equity in the business through a share incentive plan.
- Green incentive programmes including electric vehicle leasing and the cycle‑to‑work scheme.
- Financial advice.
- Health assessments.
About The Process
To Apply: If you would like to express interest in this role, please apply by submitting your CV and a cover letter (max. 2 pages) highlighting your relevant experience against the essential requirements for the role.
Deadline for applications: 11:59 pm on 4 January.
Screening calls: w/c 5 th Jan & w/c 12 th Jan.
First round interviews: w/c 12 th Jan & w/c 19 th Jan.
Second round interviews & presentation: w/c 19 th Jan & w/c 26 th Jan.
We actively encourage applications from women, disabled, Black, Asian, and minority ethnic candidates and historically under‑represented groups. We are an inclusive employer and care about diversity in our teams. Let us know in your application if you have accessibility requirements during the interview.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology
