Key responsibilities include:

• Design conceptual and logical data architectures that enable the implementation of intended business outcomes and re-usable, enterprise data products.

• Provide thought leadership and expert input on projects requiring extensive data requirements gathering, data modeling, data integration, and testing.

• Collaborate with business clients, data owners, and product owners to anticipate future data architecture needs and to resolve challenging data taxonomy and data integration challenges.

• Engage business and technology leaders in strategic discussions to better understand objectives that could impact data management and platform best practices, guidelines, and policies.

• Communicate implications of architectural decisions, issues and plans to business and technology leadership.

• Provide expert knowledge of data management principles, standards, and best practices to business and technology teams.

• Work directly with vendors to understand and influence overall vendor roadmap.

• Work with internal technology teams to define long-term data management strategy and capability roadmaps.

• Collaborate with other technology teams to define technical evaluation criteria for product and technology selection.

The role does not require any line management responsibility.

Qualifications Required:

• Bachelor's degree in Computer Science, Business Administration or equivalent educational or professional experience and/or qualifications. An advanced degree is also preferred.

• Minimum of 10 years of in-depth experience in Data Lifecycle Management, solutions design, and delivery of enterprise level data platform solutions.

• Minimum of 2 years of experience managing people/project lifecycle and delivery of mid-to-large enterprise technologies.

• Experience working with business application owners and development teams to document and clarify business and user requirements and manage scope of defined data requirements during project lifecycle.

• Technical experience in modern data platform concepts like lakehouse architecture, delta lake, data fabric, AI/ML.

• Experience designing conceptual and logical data models that enable the implementation of intended business outcomes and re-usable, enterprise data products.

• Strong analytical abilities, presentation skills, and organizational/planning abilities.

• Ability to adjust communications to both technical and non-technical audiences.

• Experience working directly with clients and providing consultation.

The role will report to the DT-US CDO Enterprise Data Architect (US).

Preferred:

• Strong knowledge of Cloud Hyperscalers Infrastructure/Services

• Strong knowledge in Machine learning and AI

• Strong experience in big data technologies like Databricks, Azure Data Lake, Delta Lake, Snowflake, etc.

• Strong experience in Relational and NoSQL databases (SQL Server / CosmosDB / MongoDB etc.)

• Experience in implementing quality guidelines, standards, and procedures.

• Experience implementing and automating models created by data science teams (i.e., Spark, Scala, Hive, Python, R, etc.)

• Experience with data integration tools like Informatica, Azure Data Factory, AWS Glue, etc.

• Experience with visualizations tools like Tableau, PowerBI, QlikSense, etc.

• Ability to understand and relate to business objectives and as a result provide a high-quality automated solution.

• Ability to drive teams to meet consensus and have vivid passion for applications delivery.

• Strong project management and team management skills.

• Creative - able to think outside the box; uses knowledge gained through prior experience, education, and training to resolve issues and remove project barriers.

• Drive for results - maintains constant awareness of projects and clients; keeps product owners focused on short- and long-term milestones.

• Experience interfacing with external software design and development vendors preferred.

• Ability to travel minimally required, up to 10%.