Enterprise Data Governance Lead

In this role, you are responsible for the development of data architecture designs, own roadmap creation, and recommend technology choices, ensuring solutions are scalable, secure, and aligned with internal and external customer requirements. You will recommend architectural standards and governance models and support the reduction of technical debt across data and analytics landscapes at Coats.

You will collaborate closely with Coats project teams throughout the delivery lifecycle-responsible for solution design, validating integrations, assisting with issue analysis, and ensuring architectural consistency.

Through strong communication, documentation, and analytical skills, you will help Coats modernize their data platforms, integrate IoT data collections, and accelerate outcomes in analytics and AI programs., * Responsible for the design of customer-specific data architectures using SAP BDC and complementary non-SAP platforms.

• Accountable for creation of architecture diagrams, data models, integration patterns, and supporting documentation.
• Accountable for developing roadmaps aligned with analytics, AI, and cloud strategies.
• Ensure solution components follow architectural standards and best practices.

1. Data Governance & Standards Implementation * Own and guide implementation of data governance practices including quality checks, lifecycle management, and metadata standards. * Help enforce clean-core and extensibility guardrails for SAP and non-SAP data components. * Participate in architecture reviews, quality gates, and compliance checks.

2. Delivery Lifecycle Support & Issue Analysis * Act as the solution delivery team with technical guidance on data integration, modeling, and platform configuration. * Assist and guide in analyzing performance, data quality, and design issues during projects. * Work collaboratively with Coats colleagues, and technology partners to ensure smooth delivery.

3. Customer Communication & Alignment * Prepare materials and contribute to architecture presentations. * Help clarify requirements, translate business needs into technical specifications, and support stakeholder alignment. * Provide insights on data modernization opportunities that enhance analytics and AI use cases.

4. Platform Adoption, Innovation & Continuous Improvement * Promote usage of SAP BDC for data unification and analytics readiness. * Support modernization of BI, data engineering, and AI landscapes. * Contribute to reusable assets, templates, reference architectures, and best practices. * Stay current with evolving SAP and non-SAP data technologies and share insights with teams.

Do you have experience in Stakeholder management?, * Strong architectural and hands on understanding of modern data and analytics platforms (Databricks, Snowflake, BigQuery, Azure/AWS/GCP data services, streaming/event architectures, Palantir and OpenSource technologies, including the Apache ecosystem)

• Good knowledge of SAP data platforms including BDC, Datasphere, SAC, BW/4HANA, and HANA Cloud.
• Experience designing data models, integration patterns, and analytical data pipelines.
• Working knowledge of data governance fundamentals: lineage, metadata management, MDM, lifecycle management, and compliance considerations.
• Ability to translate business needs into data architecture requirements and communicate them clearly to technical teams.
• Strong problem-solving, documentation, stakeholder engagement, and storytelling skills.
• Comfortable working in complex environments and supporting architectural discussions and trade-off decisions., Bachelor’s Computer Science, Engineering, Data Science, Information Systems, or Business Administration (or equivalent experience).

WORK EXPERIENCE

• 5-10+ years of experience in data architecture, data engineering, analytics, or related technical roles.
• Hands-on experience designing or supporting modern data platforms and analytical solutions.
• Exposure to SAP analytics and data products (BDC, Datasphere, SAC, BW/4HANA, S/4HANA Public Cloud) and integration with non-SAP platforms such as AZURE Data Studio.
• Experience working in customer-facing roles, delivery projects, or large-scale transformation programs.

Pulled from the full job description

• Referral program
• Professional development assistance
• Tuition reimbursement
• Paid parental leave
• Parental leave
• 401(k)
• Health insurance, * 401(k)
• 401(k) matching
• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid parental leave
• Paid time off
• Parental leave
• Professional development assistance
• Referral program
• Retirement plan
• Tuition reimbursement
• Vision insurance