Principal, Data Strategy & Governance

Boston, MA, USA
Full-time
$120,000-$140,000
Posted Nov 10, 2026

Skills

Communication
Product Management
SQL
Snowflake
Accessibility
Compliance
Problem Solving
Recruiting

Job description

Our world is transforming, and PTC is leading the way. Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business.

Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.

PTC is building a unified, trusted, AI-ready foundation for product usage data across our software portfolio. As our products and customers grow more connected, so does the opportunity to understand how they are used — advancing telemetry standards, strengthening data governance, and creating a shared analytics foundation that helps our teams serve customers better and innovate faster.

The Principal, Data Strategy & Governance is a driving force behind this work. In this role you will translate our data governance strategy into working standards — ownership models, shared definitions, metadata, quality measures, and access practices — and set the cross-product data direction that turns product telemetry into governed, AI-ready data our stakeholders rely on. You will spend roughly half your time on governance operations and half on product usage data strategy and operations, coordinating standardization across products, collaborating on architecture and platform direction, and driving our AI-ready data foundation. You will partner closely with Product Management, R&D, Data Engineering, Enterprise Architecture, the AI Strategy team, and business teams across the company.

Key Responsibilities

Data Governance Executio n

•Establish and maintain the data ownership and stewardship model, ensuring every product data domain has a named owner and that assignments stay current as products and teams evolve.

•Develop, publish, and champion data standards, including naming conventions, telemetry schema requirements, business glossary terms, and metric definitions; drive alignment and ratification through the governance forum.

•Own the data catalog as a working asset, ensuring critical datasets carry business definitions, lineage, classification, and documented ownership so questions of accountability and access can be answered quickly and confidently.

•Define data quality dimensions and thresholds for priority datasets, stand up monitoring and exception reporting, and drive remediation to closure 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 — agendas, decision logs, escalation paths, and standards exceptions — and report program health to leadership.

Product Usage Data Strategy & Operations Management

•Manage the holistic product usage data strategy cross-product — defining the unified data vision, priorities, and decision rights that align data investment to product and business outcomes across all product segments and functions.

•Coordinate the standardization of dimensional and semantic data models across products, driving consistent metric definitions and reliable BI through a shared semantic foundation.

•Collaborate on the design and implementation of a unified data architecture consolidating fragmented infrastructure, ensuring architecture decisions remain aligned to the product usage data strategy.

•Work to incorporate centralized data catalog and metadata management capabilities at an enterprise level, extending data discovery, documented lineage, shared definitions, and self-service accessibility beyond the product organization.

•Collaborate on the development of scalable, modern data platform infrastructure and capabilities, ensuring platform direction and investment remain aligned to the product usage data strategy.

•Drive the AI-ready data foundation that unlocks self-service analytics and insights, partnering with the AI Strategy team to enable business users to independently gain actionable insights through AI.

Qualifications and Attributes

•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.

•Demonstrated 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 (Snowflake, Databricks, BigQuery, or similar) and modern BI tooling.

•Strong delivery management skills, with the ability to run a plan with real dependencies across teams and keep it moving through influence rather than authority.

•Excellent written communication: you can write a standard, a data product definition, and an executive status update that people read and act on.

•Comfort working with global teams, including India and EMEA touchpoints, with cultural awareness and flexibility when off-hours coordination is needed.

Preferred Qualifications

•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 tooling (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.

PTC carefully considers a wide variety of factors when determining compensation. The anticipated annual salary range for this position is between $120,000-$140,000. The salary range reflects a good-faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location. 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. Employees may be eligible for medical, dental and vision insurance, paid time off and sick leave, tuition reimbursement, 401(k) contributions and employer match, flexible spending accounts, life insurance, disability coverage and, if you are an office-assigned employee, a generous commuter subsidy. All total rewards and benefits programs are subject to applicable plan eligibility and other terms and conditions.

For more information about PTC’s comprehensive benefits, please visit our Careers Page .

PTC recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled.

#LI-SK2

This position is not eligible for employment-based immigration sponsorship. Applicants must be authorized to work in the United States without requiring current or future sponsorship from PTC.

At PTC, we believe in the power of diverse ideas and perspectives. As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work. Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

For more information about PTC’s comprehensive benefits and our AI usage, please visit our Careers Page (https://www.ptc.com/en/careers/united-states-careers). Applications will be accepted on an on-going basis until the opportunity is filled.

PTC endeavors to make ptc.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact PTC's Talent Acquisition team at TalentAcquisition@ptc.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.

Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you.

If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are. Are you ready to explore your next career move with us?

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