Principal, Data Strategy & Governance

PTC•Boston, MA

1d•$120,000 - $140,000

About The Position

PTC is building a unified, trusted, AI-ready foundation for product usage data across its software portfolio. The Principal, Data Strategy & Governance translates the data governance strategy into operational standards—including ownership models, shared definitions, metadata, quality measures, and access practices—and establishes cross-product data direction to turn product telemetry into governed, AI-ready data. The role is split roughly equally between governance operations and product usage data strategy and operations, coordinating standardization across products, collaborating on architecture and platform direction, and advancing an AI-ready data foundation. The position partners with Product Management, R&D, Data Engineering, Enterprise Architecture, the AI Strategy team, and business teams across the company.

Requirements

Bachelor’s degree in a quantitative, technical, or business discipline, or equivalent practical experience.
10+ years of experience in data governance, data management, analytics delivery, or product analytics, including at least 4 years running programs or delivery workstreams with cross-functional stakeholders.
Hands-on ownership of governance capabilities such as data ownership models, business glossaries, metadata and lineage, data quality frameworks, or classification and access policy.
Working fluency in SQL and comfort profiling data directly to validate quality, coverage, and definitions.
Experience with product telemetry and instrumentation, including event schema design, identity and key strategy, and partnering with engineering teams to deliver reliable events.
Practical experience with a cloud data platform such as Snowflake, Databricks, BigQuery, or similar, and modern BI tooling.
Strong delivery management skills, including managing plans with dependencies across teams and progressing work through influence rather than authority.
Excellent written communication skills, including the ability to produce standards, data product definitions, and executive status updates that prompt action.
Comfort working with global teams, including India and EMEA touchpoints, with cultural awareness and flexibility for off-hours coordination when needed.
Authorization to work in the United States without current or future employment-based immigration sponsorship from PTC.

Nice To Haves

Experience in enterprise B2B software, particularly engineering, CAD, PLM, ALM, or SLM, including on-premises and hybrid deployment models.
Familiarity with data catalog and governance tools such as Collibra, Alation, Atlan, or similar, and with semantic layer technologies.
Exposure to dimensional modeling and semantic model governance.
Experience supporting commercial use cases from usage data, such as retention signals, expansion and upsell indicators, license compliance, or usage-based pricing.
Background supporting AI/ML readiness by preparing governed, well-documented data foundations for data science consumption.
Change management or data literacy program experience.

Responsibilities

Establish and maintain data ownership and stewardship models, ensuring each product data domain has a named owner and assignments remain current.
Develop, publish, and champion data standards covering naming conventions, telemetry schemas, business glossary terms, and metric definitions; drive alignment and ratification through the governance forum.
Maintain the data catalog as a working asset, documenting business definitions, lineage, classification, and ownership for critical datasets.
Define data quality dimensions and thresholds for priority datasets, establish monitoring and exception reporting, and drive remediation to completion with accountable owners.
Partner with Security, Legal, and Privacy to apply classification and access policies to product usage data, including regional privacy requirements for telemetry.
Run the governance operating rhythm, including agendas, decision logs, escalation paths, and standards exceptions, and report program health to leadership.
Manage the cross-product product usage data strategy, defining a unified data vision, priorities, and decision rights aligned to product and business outcomes.
Coordinate standardization of dimensional and semantic data models across products and drive consistent metric definitions and reliable BI through a shared semantic foundation.
Collaborate on the design and implementation of a unified data architecture that consolidates fragmented infrastructure and remains aligned to the product usage data strategy.
Work to incorporate centralized enterprise data catalog and metadata management capabilities, extending data discovery, lineage, shared definitions, and self-service access beyond the product organization.
Collaborate on scalable, modern data platform infrastructure and capabilities, keeping platform direction and investment aligned with the product usage data strategy.
Drive an AI-ready data foundation for self-service analytics and insights, partnering with the AI Strategy team to help business users gain actionable insights independently through AI.

Benefits

Performance-based bonus may be available.
Employee share purchase program (ESPP) offering the opportunity to purchase discounted PTC stock.
Certain roles may be eligible for equity programs.
Medical insurance.
Dental insurance.
Vision insurance.
Paid time off and sick leave.
Tuition reimbursement.
401(k) contributions and employer match.
Flexible spending accounts.
Life insurance.
Disability coverage.
Generous commuter subsidy for office-assigned employees.