The Governance Capability Strategy & Modernisation Lead is a Director role within the Global Data Stewardship Office, combining enterprise data-governance strategy and portfolio leadership with practical technology implementation capability. The role defines EY’s governance capability strategy, target state and modernisation roadmap, translating business and user needs and approved policy, risk and regulatory requirements into operating-model designs, implementation-ready requirements and reusable governance patterns.
Locations (7)
Chicago, Illinois, United States
New York City, New York, United States
Boston, Massachusetts, United States
Washington, District of Columbia, United States
California, California, United States
Sacramento, California, United States
Hoboken, New Jersey, United States
Compensation
The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $240,000 to $432,000
Bay Area California offices – $250,000 to $450,000
All other offices locations in the US, including Sacramento – $200,000 to $396,000
Responsibilities
Define and maintain the enterprise data-governance capability strategy, target state, design principles and multi-year modernisation roadmap
Assess current governance maturity and capability gaps across people, process, information, controls and technology
Design the target governance operating model, including accountabilities, decision rights, governance forums, service interactions and adoption measures
Translate business and user needs and approved policy, regulatory and risk requirements into implementation-ready business, functional and non-functional requirements, user stories and measurable acceptance criteria
Lead capability design across interdependent governance domains, including metadata, discovery and classification, lineage, data quality, lifecycle, privacy, access, data products and AI-ready data
Requirements
Bachelor’s degree in information management, information systems, computer science, software or data engineering, data science, engineering, business, risk or a related discipline, or equivalent relevant experience
Lead data governance and strategy to build an AI-ready data foundation across PTC products.
Compensation
The anticipated annual salary range for this position is between $120,000-$140,000. Additionally, candidates may be eligible for a performance-based bonus. Employees also have the opportunity to become a PTC shareholder through our employee share purchase program (ESPP), which allows for the purchase of discounted PTC stock. Certain roles may also be eligible for participation in our equity programs.
Responsibilities
Translate data governance strategy into working standards
Establish and maintain data ownership and stewardship model
Develop and champion data standards and definitions
Own and maintain the data catalog
Define data quality dimensions and thresholds
Requirements
Bachelor’s degree in a quantitative, technical, or business discipline, or equivalent practical experience
Senior Data Scientist focused on data engineering, responsible for discovering, connecting, transforming, and operationalizing engineering data for downstream AI systems and applications.
Compensation
$90,900.00 - $189,800.00
Responsibilities
Discover engineering data and knowledge sources across distributed systems and repositories
Build data-ingestion and integration pipelines
Connect structured and unstructured engineering data
Implement metadata, cataloging, lineage, and discoverability capabilities
Establish data quality, validation, and observability practices
Requirements
Bachelor’s degree in data engineering, computer science, engineering, or related field
As a senior member of our team, the Engineering Manager leads the engineers who build and deliver our clients' data and AI systems.
Locations (4)
Walnut Creek, California, United States
San Francisco, California, United States
Dallas, Texas, United States
Washington, United States
Compensation
This position is also eligible for bonus compensation.
Responsibilities
Lead one or more engineering teams through client engagements, turning data and AI strategy into working systems
Manage the full delivery lifecycle, from technical design and architecture decisions through implementation, code review, testing, and production hand-off
Principal/Staff Technical Program Manager, Engineering
Lead cross‑functional program management for Simbe’s autonomous shelf‑scanning robot, coordinating hardware, ROS software, AI models, and cloud systems to deliver production‑ready robots in retail stores.
Responsibilities
Define and own program schedules for new Tally generations, fleet‑wide migrations, and large retail rollouts
Coordinate integration checkpoints across hardware, ROS software, CV model deployment, cloud pipelines, and retailer dashboards
Ensure deployment readiness and handoff from engineering to field operations
Map dependencies and maintain a standing cross‑functional review cadence
Identify and document top risks with actionable mitigation plans
Hire, coach, and grow engineers, setting technical standards and building feedback loops, career paths, and mentorship
Partner directly with client engineering and technology leaders as a peer, translating ambiguous business requirements into a clear technical plan
Make and stand behind architecture and technology choices for data platforms and AI/ML systems, including cloud-native data lakes and warehouses, pipeline orchestration, and MLOps tooling
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
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