Data Architect - London - ref. w45848419

This role will develop a cohesive data architecture in a key area across Springer Nature's research er brands , t ransforming services and products towards a data-driven customer experience .

About you

You communicate well and ensure stakeholders un derstand your architectural vision and its relationship to the business capabilities it will enable. You architect with an iterative approach, actively seeking input from multiple points, gathering feedback and adapting to new requirements and information .

• Collaborate with business stakeholders, technology teams, and data professionals to define and align on a target data architecture that supports strategic goals.
• Drive the development and maintenance of data architecture guidelines and standards to ensure consistency across the organi s ation, including d igital p roducts and m arketing domains .
• Provide guidance and mentorship to department representatives to promote improved data quality, harmoni s ation, and governance practices.
• Introduce and explain data concepts to senior business and product leaders to foster data literacy and informed decision-making .
• Develop and maintain data models and art e facts to document the as-is and to-be states of the customer data landscape .
• Identify and define desired data products that meet the research organi s ation's needs , ensuring alignment with business requirements .
• Collaborate with teams and solution architects to contribute to the development of the broader data ecosystem, including capabilities like data disambiguation, APIs, and machine learning models .
• Continually validate architecture through delivery with product teams and course correct as necessary .
• Collaborate with data privacy, governance, and management roles to establish and enforce data management, security, and compliance policies within areas of active development, ensuring adherence to relevant regulations (e.g., GDPR)
• Build and maintain strong relationships with key stakeholders, including Solution Architects , Data Governance, Data Directors, Heads of Product, Data Protection Officer (DPO), Enterprise Architects, and Cybersecurity, to ensure the delivery of reliable, right, and secure data solutions.
• Collaborate with other data architects in workshops, planning sessions, and product teams to create shared art e facts , fostering a collaborative and consistent approach to data architecture.

Skills & Experience

• Extensive experience in data model l ing, with a proven track record of successfully model l ing complex data domains.
• Demonstrated experience in defining and documenting data strategies, roadmaps, and principles.
• Strong understanding of data governance principles and practices, with experience driving improvements in data quality and harmoni s ation.
• Experience in defining and documenting non-functional requirements (e.g., data management, security, compliance) and ensuring their implementation.
• Ability to review proposed technology options for architectural fit and define appropriate frameworks for technology selection .
• Experience defining success measures and monitoring key data components to ensure performance and reliability.
• Excellent communication and interpersonal skills, with the ability to effectively clarify constraints, trade-offs, and essential decisions to technical and non-technical stakeholders.
• Proven ability to develop strategies to improve data quality and ensure data accuracy and consistency.
• Experience creating regular feedback loops with stakeholders and product teams to ensure alignment and incorporate learnings into the data architecture.

• Knowledge of architectural disciplines such as data mesh, business intelligence (BI), data warehousing, and data platforms.
• Experience with cloud-based data solutions and technologies.
• Strong facilitation and alignment skills, with the ability to effectively navigate and influence across organi s ational silos.
• Experience with aligning Agile delivery teams

What you will be doing

• Collaborate with key stakeholders to understand the research data landscape's current state and identify immediate improvement opportunities .
• Document the as-is data/ technical landscape for research data and the broa der domain .
• B uild relationships and feedback loops with data governance, security, and other relevant groups to ensure alignment on data standards, security policies, and architectural principles.
• Start to map out the existing data sources and identify potential issues that must be addressed.

• Maintain a high-level roadmap for the development of the research data ecosystem, outlining key milestones and deliverables for the next 6-12 months , and presenting to senior leadership
• Determine how the technical architecture can support delivery autonomy while supporting consistent user journeys across our platforms
• Perform feasibility analysis and provide recommendations on Build vs. Buy for systems that support the agile development process, scalability, and data governance requirements
• Create a n architectural forum to bring together a rchitects and t ech l eads in the research data initiatives

• Refine the roadmap and architecture b ased on feedback from initial delivery, incorporating lessons learned and adjusting priorities as needed .
• Scale the success ful approach es to other areas of the research data ecosystem, empowering teams .
• Develop and communicate a clear vision for the future of the research data ecosystem, highlighting its role in supporting strategic organi s ational goals .

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