Cordant Data Analytics Platform Product Manager

bakerhughes; Houston (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

Baker Hughes seeks a Cordant Data Analytics Platform Product Manager to define and drive the strategy for an enterprise-grade platform enabling data ingestion, analytics, and AI across ecosystems. You’ll align global stakeholders and lead reusable, scalable platform solutions with governance and security at the core.

You will partner with AI teams, define adoption paths, and guide productization of analytics workbenches while collaborating with engineering and go‑to‑market squads to realize

Qualifications

• Have a Bachelor's degree in Engineering, Computer Science, Data Science, or related field
• Significant experience in product management for data, analytics, or platform products
• Proven ownership of platform-scale solutions used across multiple teams or customers
• Strong understanding of data architectures, analytics platforms, APIs, and AI enablement
• Experience working in complex, global, matrixed organizations

Responsibilities

• Define the vision and multi-year roadmap aligned to enterprise digital strategy
• Translate technology investments into measurable outcomes such as adoption, reliability, performance, security, and cost
• Drive prioritization and trade‑off decisions across scalability, extensibility, and customer value
• Own product definition for edge‑to‑cloud data ingestion, federation, contextualization, and analytics capabilities
• Enabling reuse and consistency across multiple products and business units
• Establishing clear value propositions and adoption paths for platform consumers
• Defining and tracking product success metrics and lifecycle management processes
• Partnering with AI and analytics teams to convert market signals and business needs into scalable platform capabilities
• Leading productization of offerings such as low‑code/no‑code analytics workbenches
• Defining platform direction for AI and intelligent workflow frameworks
• Ensuring enterprise‑grade standards for security, governance, and compliance
• Supporting go‑to‑market teams with product narratives and customer‑facing materials
• Collaborating with Engineering, Architecture, and Cybersecurity teams on platform design decisions
• Representing Product in governance and architecture forums
• Defining standards for data quality, lineage, observability, and reliability
• Aligning engineering, infrastructure, data, and product teams toward shared platform goals
• Partnering with Legal, Compliance, and Procurement on contracts, data rights, and SLAs
• Trying as trusted advisor to senior technical and business stakeholders
• Mentoring and developing product management talent
• Engaging with strategic customers and partners to validate roadmap priorities
• Incorporating voice of customer and market trends into product decisions
• Representing platform vision in customer discussions and industry forums
• Driving thought leadership in digital and industrial ecosystems
• Positioning the platform as a foundation for building industrial analytics and AI‑driven applications
• Defining reusable components such as data pipelines, APIs, SDKs, and AI modules
• Enabling rapid application development without bespoke engineering
• Driving reductions in delivery time, cost, and operational complexity
• Partnering with Product Marketing and Sales to define commercial offerings and bundles
• Translating platform capabilities into customer value propositions such as reduced TCO and faster ROI
• Supporting usage‑based and value‑based pricing models aligned with consumption
• Driving strategy with strong outcome orientation
• Demonstrating commercial acumen in pricing, packaging, and scaling adoption
• Influencing across global, matrixed environments without direct authority
• Applying platform thinking for reuse and ecosystem growth
• Maintaining strong customer and partner focus

Skills

Product management

Strategic thinking

Cross-functional leadership

Stakeholder alignment

AI enablement

Data architectures

Platform thinking

Education

Bachelor's degree in Engineering, Computer Science, Data Science, or related field

Tools

APIs

SDKs

Data pipelines

Job description

Cordant Data Analytics Platform Product Manager

Would you like to play a key role in building and scaling enterprise data and analytics platforms that power industrial innovation?

Are you a strategic product leader who can drive platform adoption, enable AI-driven solutions, and deliver measurable customer value?

Join our high‑impact Digital Platform team! At Baker Hughes, our purpose is clear: We take energy forward - making it safer, cleaner, and more efficient for people and the planet.

As a Cordant Data Analytics Platform Product Manager , you will define and drive the strategy and roadmap for an enterprise‑grade industrial data and analytics platform, enabling scalability, performance, and innovation across internal and external ecosystems.

Partner with the Best

The Cordant Data & Analytics Platform Product Manager serves as a strategic product leader responsible for shaping foundational platform capabilities across data, analytics, and AI. This role requires strong product thinking, commercial acumen, and the ability to align global stakeholders to deliver scalable, reusable, and high‑value platform solutions.

As a Cordant Data & Analytics Platform Product Manager , you will be responsible for:

Platform Strategy & Roadmap

• Defining the vision and maintaining a multi‑year product roadmap aligned to enterprise digital strategy
• Translating technology investments into measurable outcomes such as adoption, reliability, performance, security, and cost efficiency
• Driving prioritization and trade‑off decisions across scalability, extensibility, and customer value

Data & Analytics Platform Productization

• Owning product definition for edge‑to‑cloud data ingestion, federation, contextualization, and analytics capabilities
• Enabling reuse and consistency across multiple products and business units
• Establishing clear value propositions and adoption paths for platform consumers
• Defining and tracking product success metrics and lifecycle management processes

Analytics & AI Enablement

• Partnering with AI and analytics teams to convert market signals and business needs into scalable platform capabilities
• Leading productization of offerings such as low‑code/no‑code analytics workbenches
• Defining platform direction for AI and intelligent workflow frameworks
• Ensuring enterprise‑grade standards for security, governance, and compliance
• Supporting go‑to‑market teams with product narratives and customer‑facing materials

Technology & Architecture Leadership

• Collaborating with Engineering, Architecture, and Cybersecurity teams on platform design decisions
• Representing Product in governance and architecture forums
• Defining standards for data quality, lineage, observability, and reliability

Cross-Functional Leadership

• Aligning engineering, infrastructure, data, and product teams toward shared platform goals
• Partnering with Legal, Compliance, and Procurement on contracts, data rights, and SLAs
• Acting as a trusted advisor to senior technical and business stakeholders
• Mentoring and developing product management talent

Customer & Market Engagement

• Engaging with strategic customers and partners to validate roadmap priorities
• Incorporating voice of customer and market trends into product decisions
• Representing platform vision in customer discussions and industry forums
• Driving thought leadership in digital and industrial ecosystems

Application Enablement & Platform Reuse

• Positioning the platform as a foundation for building industrial analytics and AI‑driven applications
• Defining reusable components such as data pipelines, APIs, SDKs, and AI modules
• Enabling rapid application development without bespoke engineering
• Driving reductions in delivery time, cost, and operational complexity

Go-to-Market, Monetization & Value Realization

• Partnering with Product Marketing and Sales to define commercial offerings and bundles
• Translating platform capabilities into customer value propositions such as reduced TCO and faster ROI
• Supporting usage‑based and value‑based pricing models aligned with consumption

Leadership Capabilities

• Driving strategy with strong outcome orientation
• Demonstrating commercial acumen in pricing, packaging, and scaling adoption
• Influencing across global, matrixed environments without direct authority
• Applying platform thinking for reuse and ecosystem growth
• Maintaining strong customer and partner focus

Fuel Your Passion

To be successful in this role, you will have:

• Have a Bachelor's degree in Engineering, Computer Science, Data Science, or related field
• Have significant experience in product management for data, analytics, or platform products
• Have proven ownership of platform‑scale solutions used across multiple teams or customers
• Have strong understanding of data architectures, analytics platforms, APIs, and AI enablement
• Have experience working in complex, global, matrixed organizations

Preferred Qualifications

• Have experience in industrial, energy, or asset‑intensive domains
• Hav