Data Architecture & Governance Manager - Global Employer Services Technology
Are you someone who challenges the status quo, acts autonomously, and has experience leading solution and data architecture in broadscale transformation programs? Are you ready to take the next leap in your career by leveraging your experience to influence architecture design in data and analytics / AI products that have a global impact? Are you ready to fulfill your greatest potential and make a significant impact within strategical data management and analytics / AI initiatives? If the answer to all the above questions is "Yes," come join the world's leading professional services firm! If you are prepared and poised to take the next step in your career where you can help lead solution and software architecture decisions that drive direct impact to the Digital footprint of a global business, we want to talk to you.
Work You'll Do
As a Data Architecture and Governance Manager within the business-aligned GES Technology group, you will oversee all aspects of data architecture, data modeling, governance, and operations. You will be responsible for defining the target-state data architecture for data and analytics, enterprise data models and embedding governance practices that improve data quality, compliance, and business value. You will have the opportunity to partner with a team of experienced product owners, product managers and leaders from other key workstreams in the practice and will be supported by a team of experienced practitioners.
- Define and maintain the enterprise data architecture, data models, standards, and roadmap aligned to business and analytics priorities.
- Lead the design of scalable, secure, and modern data platforms, including data lakes, warehouses, semantic layers, and integration patterns.
- Establish and operationalize data governance frameworks covering data ownership, stewardship, metadata, lineage, quality, privacy, retention, and access controls.
- Partner with business, engineering, security, and analytics leaders to prioritize data domains and enable trusted, high-value data products.
- Create and enforce architecture principles, reference models, and design standards for structured and unstructured data.
- Drive master data, reference data, and common data model strategies to improve consistency across systems and reporting.
- Oversee data quality management, including rules, controls, monitoring, issue remediation, and governance forums.
- Guide the selection and implementation of data governance, catalog, lineage, and quality tooling.
- Ensure compliance with regulatory, security, and privacy requirements relevant to data management and usage.
- Oversee the day-to-day operations of the data architecture and governance team and implement best practices.
- Develop and enforce data security policies to protect sensitive information and comply with legal and regulatory requirements such as GDPR.
- Monitor and assess data security risks and vulnerabilities and implement measures to mitigate them.
- Train and develop your team of data professionals.
The Team
At Deloitte Tax LLP, our Global Employer Services (GES) Technology Group consultants help multinational clients develop programs, processes and digital offerings to manage a global workforce and the compliance obligations arising from global mobility, business travel and remote working. People within our technology group come from a diverse background - they partner with our go-to-market teams and global clients to solve challenging problems and design experiences and products that anticipate what our Deloitte clients will want and also solutions that keep them compliant with global and local regulations.
Qualifications
Required:
- Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2 - 3 days per week.
- Bachelor's degree in Computer Science, Information Systems, Data Management, or related field.
- 5+ years of experience in data architecture, data management, or enterprise data leadership roles.
- Demonstrated experience in data management consulting or industry roles, with a focus on master data management (MDM), data governance, metadata, data architecture, data quality, data modeling, and data standards
- Hands-on implementation experience with leading data management platforms such as Informatica (MDM, 360, Data Catalog) and/or Reltio (Multi-domain MDM, Intelligent 360, advanced data models) and /or cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake).
- Demonstrated experience in defining and implementing data products, data catalogs and marketplaces.
- Demonstrated experience transforming complex business requirements into scalable data models and semantic layers for analytics and agentic AI use cases.
- Experience leading workstreams for data management engagements with teams distributed across multiple locations, including facilitating cross-functional workshops with technology, data, compliance, and business stakeholders to gather requirements and design solutions.
- Limited immigration sponsorship may be available.
- One of the following accreditations obtained:
- Licensed CPA in state of practice/primary office if eligible to sit for the CPA
- If not CPA eligible:
- Licensed attorney
- Enrolled Agent
- Technology Certifications
- Data management and enterprise architecture (DAMA, CDMP, TOGAF)
- Data platform specialist (Databricks, Data Engineer Associate/Professional, SnowPro, Core and SnowPro Advanced Architect for Snowflake)
- Cloud architecture (AWS Certified Solutions Architect Associate/Professional)
- Generative AI (AWS AI Practitioner, AWS Generative AI Developer Professional, NVIDIA Generative AI LLMs, and Databricks Generative AI Engineer Associate)
- Agentic AI (NVIDIA Certified Professional: Agentic AI LLMs)
- Relevant industry certification such as Project Management (PMP)
- Six Sigma (Black Belt)
Preferred:
- Experience with emerging technologies such as Generative AI and advanced data architectures-including Data Mesh, Data Fabric, and Data Products
- Advanced knowledge of data modeling techniques (entity-relationship, star/snowflake schemas, 3rd normal form) and medallion data architecture (bronze, silver, gold).
- Demonstrated experience with cloud-based data lakes and warehouse technologies (Apache Iceberg, Databricks, Redshift, Snowflake)
- Skilled in supporting data integration (ETL/ELT) and data quality frameworks.
- Demonstrated experience with metadata management and data lineage tools
- Strong understanding of data security, access controls, and privacy principles.
- Experience with data governance disciplines such as metadata management, lineage, stewardship, data quality, and policy management.
- Hands on experience with Data Management and Data Engineering.
- Experience with defining data standards and developing Enterprise data models.
- Strong understanding of security, privacy, and compliance considerations in data environments.
- Experience influencing cross-functional stakeholders and leading enterprise-wide initiatives.
- Proven ability to lead, motivate, and develop a team of data professionals.
- Strong analytical and problem-solving skills.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,890 to $259,220.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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