For this U.S. based position, the expected compensation range is $139, 200 - $208, 800 per year, which
includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United
States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within
the salary range, individual pay is determined by several factors including performance, knowledge, jobrelated skills, experience, and relevant education or training. Schneider Electric also offers a
comprehensive benefits package to support our employees, inclusive of medical (with member reward
points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits)
flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including
service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the
first year of employment based on start date), opportunity to purchase company stock (eligibility
depends on start date), and military leave benefits.

You must submit an online application to be considered for the position. The Company will accept
applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S.,
please notify the Company as soon as possible upon discovery by completing this form Job Posting
Compliance Form.

Role Description

We are seeking a Data Product Manager to lead the development and evolution of our Energy & Industrial data platform, enabling advanced analytics, AI-driven insights, and semantic interoperability across global operations. This role is pivotal in shaping how Energy & Industrial data is ingested, processed, stored mapped to semantic models, and exposed through modern data products.

You will work closely with engineering, architecture, and domain experts to help define and deliver product vision, prioritize capabilities, and ensure delivery aligns with business outcomes. The ideal candidate combines industrial domain knowledge, cloud-native data architecture experience (Microsoft Azure Preferred), and a passion for data-driven innovation.

Key Responsibilities

• Product Roadmap
• Define and own the roadmap for the data platform, with focus on ingestion, processing and storage of data
• Translate business needs into clear product requirements and success metrics
• Contribute to the overall formation of data product startegy
• Capability Development
• Drive implementation of OneLake Medallion architecture, ingestion pipelines, and data product management frameworks.
• Good understanding of RDF stores, domain ontologies, and physical-to-semantic mapping processes.
• Stakeholder Engagement
• Collaborate with business domain experts, architects and engineers to meet real-world use cases.
• Act as the voice of the customer
• Governance & Standards
• Good understanding of data product lifecycle management, ontology stewardship, and compliance with security and privacy standards.
• Exposure & Adoption
• Drive adoption through documentation, onboarding, and enablement programs.

Required Qualifications

• Industrial Background: Experience in manufacturing, energy, or process industries with understanding of OT/IT integration.
• Cloud Expertise: Hands-on experience with Microsoft Azure data services (Azure Data Lake, Synapse, Event Hub, Data Factory, Purview).
• Data Architecture Knowledge: Familiarity with Medallion architecture, data pipelines, and semantic technologies (RDF, SPARQL, SHACL).
• Product Management Skills: Proven ability to define roadmaps, write user stories, and manage backlog in Agile environments.
• Communication & Leadership: Strong ability to influence cross-functional teams and articulate technical concepts to business stakeholders.

Preferred Qualifications

• Experience: 5+ years building cloud data/industrial IoT platforms (with hands‑on telemetry ingestion & streaming/processing), including 2+ years in product management-ideally following an architect/developer path; exposure to commercial data platforms (Azure/Microsoft, Databricks, Snowflake, MongoDB, PTC) preferred.

• Experience with AI/ML platforms (Azure Machine Learning, feature stores, MLOps).
• Knowledge of industrial data standards (OPC UA, ISA-95, ISO 50001).
• Familiarity with knowledge graphs, ontologies, and semantic data modeling.
• Exposure to data governance frameworks and compliance requirements.

What We Offer

• Opportunity to shape a next-generation energy and industrial data platform
• Work at the intersection of IoT, AI, and cloud technologies
• Collaborative environment with global impact.
• Competitive compensation and benefits.

Please Note

Location:

We strongly prefer candidates in the Boston area.

We are unable to consider any remote candidates.

Work Eligibility:

We are unable to consider any candidates who will require immigraiton assistance either now or in the future.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.For this U.S. based position, the expected compensation range is $139, 200 - $208, 800 per year, which
includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United
States. Our salary ranges are determined by reviewing roles of similar responsibility and level. Within
the salary range, individual pay is determined by several factors including performance, knowledge, jobrelated skills, experience, and relevant education or training. Schneider Electric also offers a
comprehensive benefits package to support our employees, inclusive of medical (with member reward
points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits)
flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including
service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the
first year of employment based on start date), opportunity to purchase company stock (eligibility
depends on start date), and military leave benefits.

You must submit an online application to be considered for the position. The Company will accept
applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S.,
please notify the Company as soon as possible upon discovery by completing this form Job Posting
Compliance Form.

Role Description

We are seeking a Data Product Manager to lead the development and evolution of our Energy & Industrial data platform, enabling advanced analytics, AI-driven insights, and semantic interoperability across global operations. This role is pivotal in shaping how Energy & Industrial data is ingested, processed, stored mapped to semantic models, and exposed through modern data products.

You will work closely with engineering, architecture, and domain experts to help define and deliver product vision, prioritize capabilities, and ensure delivery aligns with business outcomes. The ideal candidate combines industrial domain knowledge, cloud-native data architecture experience (Microsoft Azure Preferred), and a passion for data-driven innovation.

Key Responsibilities

• Product Roadmap
• Define and own the roadmap for the data platform, with focus on ingestion, processing and storage of data
• Translate business needs into clear product requirements and success metrics
• Contribute to the overall formation of data product startegy
• Capability Development
• Drive implementation of OneLake Medallion architecture, ingestion pipelines, and data product management frameworks.
• Good understanding of RDF stores, domain ontologies, and physical-to-semantic mapping processes.
• Stakeholder Engagement
• Collaborate with business domain experts, architects and engineers to meet real-world use cases.
• Act as the voice of the customer
• Governance & Standards
• Good understanding of data product lifecycle management, ontology stewardship, and compliance with security and privacy standards.
• Exposure & Adoption
• Drive adoption through documentation, onboarding, and enablement programs.