CLM Platform Lead

Baker Hughes•Houston, TX

About The Position

Baker Hughes’ Digital Technology Organization uses digital technology to support decarbonization and digital acceleration across the energy industry. The CLM Platform Lead serves as the technical advisor and solution architect for enterprise contract lifecycle management (CLM), owning the end-to-end solution across architecture, implementation, integrations, data, AI, security, operations, and platform evolution. The role defines and evolves the target-state CLM architecture and roadmap, ensuring solutions are scalable, reusable, secure, supportable, and aligned with enterprise strategy. The role leads cross-functional solutioning with Business, Legal, Data & AI, Enterprise Architecture, Security, ERP/CRM, integration teams, infrastructure, and strategic vendors. It translates complex business requirements into practical solutions connecting CLM workflows, metadata, repositories, APIs, enterprise data, AI, and downstream processes. The lead also governs integrations, partners with Data & AI teams on contract metadata and responsible AI capabilities, and designs for expansion across business units, regions, contract types, users, integrations, and data volumes. The position has end-to-end technical and operational ownership spanning design, build, migration, testing, deployment, stabilization, production support, upgrades, maintenance, and continuous improvement. It drives platform operations, issue resolution, delivery governance, vendor accountability, budget and cost governance, executive communications, and evaluation of emerging CLM, agreement intelligence, GenAI/ML, and automation capabilities. The role also mentors technical teams, promotes reusable standards and patterns, and maintains accountability for the health, integrity, scalability, and evolution of the CLM ecosystem.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related STEM discipline.
  • Approximately 15 years of relevant technology experience.
  • Significant experience as a Solution Architect, Technical Advisor, or Senior Technology Leader delivering complex enterprise solutions.
  • Strong enterprise CLM experience; DocuSign CLM/IAM experience is preferred.
  • Deep understanding of the end-to-end contract lifecycle, including authoring, workflows, templates, metadata, repositories, approvals, signature, amendments, renewals, obligations, integrations, and downstream consumption.
  • Proven ability to architect solutions spanning CLM, ERP/CRM, Data & AI, middleware, cloud platforms, security, and enterprise integrations.
  • Strong knowledge of REST APIs, JSON/XML, authentication, event and batch integration patterns, data models, transformation, lineage, traceability, and governance.
  • Demonstrated experience designing for scalability, resiliency, extensibility, security, performance, maintainability, and cost efficiency.
  • Experience leading complex migration, testing, deployment, stabilization, production support, and platform lifecycle activities.
  • Demonstrated ability to lead cross-functional technical discussions and delivery cadences, resolving ambiguity across multiple teams and systems.
  • Experience managing strategic vendors, delivery commitments, dependencies, estimates, and technical quality.
  • Experience supporting budgets, purchase orders, vendor spend, forecasting, and cost-sensitive technology initiatives.
  • Ability to operate effectively in time-sensitive environments while balancing delivery urgency with architecture quality and long-term sustainability.
  • Strong executive communication and stakeholder-management skills, including the ability to simplify complex technical and financial topics for leadership.
  • Demonstrated end-to-end ownership, sound judgment, and ability to drive complex decisions and issues through closure.

Nice To Haves

  • Deep technical and architectural knowledge of the DocuSign CLM/IAM platform.
  • Experience integrating CLM with ERP, Salesforce, Databricks, Informatica, Azure, and enterprise integration platforms.
  • Strong understanding of contract AI, metadata extraction, agreement intelligence, analytics, and responsible AI practices.
  • Experience defining CLM reference architectures, reusable patterns, metadata frameworks, integration standards, and technical guardrails.
  • Strong understanding of enterprise security, SSO, IAM/RBAC, privacy, compliance, resiliency, observability, and operational controls.
  • Understanding of how CLM supports Commercial, Legal, Sales, Finance, Procurement, Operations, Data & AI, and enterprise processes.
  • Ability to understand the broader business, application, data, and technology landscape beyond individual requirements.
  • Ability to balance business value, delivery speed, scalability, cost, security, and long-term sustainability in solution decisions.
  • Ability to anticipate growth and design for expansion, acquisitions, new contract types, geographies, integrations, and emerging technologies.
  • Ability to connect technical decisions to business outcomes, operational impact, cost, risk, and value realization.
  • Ability to act as a trusted Solution Architect and Advisor connecting strategy, architecture, execution, operations, and commercial considerations.
  • Ability to drive sprint and delivery governance, leadership updates, vendor accountability, mentoring, standardization, reuse, and continuous improvement.
  • Strategic, solution-oriented, self-driven, and highly accountable, with strong systems thinking and comfort operating autonomously in complex, ambiguous, time-sensitive, and cost-sensitive environments.
  • Strong executive presence, analytical, communication, negotiation, and structured problem-solving skills.
  • Proactive identification of risks, dependencies, scalability concerns, operational gaps, and expansion opportunities.

Responsibilities

  • Serve as the technical advisor and solution architect for enterprise CLM, owning the end-to-end solution across architecture, implementation, integrations, data, AI, security, operations, and platform evolution.
  • Define and evolve the target-state CLM architecture and roadmap, ensuring solutions are scalable, reusable, secure, supportable, and aligned with enterprise strategy.
  • Lead cross-functional solutioning across Business, Legal, Data & AI, Enterprise Architecture, Security, ERP/CRM, integration teams, infrastructure, and strategic vendors.
  • Translate complex business requirements into end-to-end solutions connecting CLM workflows, metadata, repositories, APIs, enterprise data, AI, and downstream processes.
  • Architect and govern integrations across CLM, ERP, CRM, Data & AI platforms, middleware, and other enterprise applications, establishing system, data, and ownership boundaries.
  • Partner with Data & AI teams on contract metadata, extraction, data quality, lineage, traceability, analytics, and responsible AI-enabled capabilities.
  • Design for enterprise scalability and future expansion, including additional business units, regions, contract types, integrations, data volumes, users, and emerging capabilities.
  • Own technical and operational activities across design, build, migration, SIT/UAT, deployment, stabilization, production support, upgrades, maintenance, and continuous improvement.
  • Own and drive CLM migration strategy and execution, including data readiness, mapping, validation, reconciliation, cutover, and post-migration stabilization.
  • Oversee platform operations, including releases, upgrades, performance, incidents, integrations, technical debt, regression testing, and operational health.
  • Lead technical and sprint execution forums, driving priorities, dependencies, decisions, issue resolution, ownership, and timely closure of actions.
  • Lead resolution of complex cross-platform issues and root-cause analysis across CLM, APIs, integrations, data flows, infrastructure, security, and vendor components.
  • Establish architecture standards, reusable patterns, technical guardrails, and governance to improve quality, scalability, maintainability, and long-term sustainability.
  • Own strategic vendor coordination, challenge designs and estimates where appropriate, and drive accountability for delivery, quality, support, and contractual commitments.
  • Drive time-sensitive and cost-sensitive initiatives, proactively managing scope, dependencies, resources, risks, schedules, and financial impacts.
  • Own or support budget planning, forecasts, purchase orders, vendor spend, and financial tracking, ensuring cost governance aligns with delivery priorities.
  • Support leadership and executive reviews with concise updates on progress, architecture decisions, risks, financials, dependencies, trade-offs, and decisions required.
  • Evaluate emerging CLM, agreement intelligence, GenAI/ML, and automation capabilities based on business value, architectural fit, security, scalability, cost, and operational sustainability.
  • Identify opportunities to simplify the technology landscape, improve reuse and automation, reduce technical debt, and optimize platform and vendor costs.
  • Mentor Technical Leads, Specialists, and delivery teams while strengthening internal capability and reducing unnecessary dependence on external vendors.
  • Maintain end-to-end accountability for the health, technical integrity, scalability, and evolution of the CLM ecosystem.

Benefits

  • Contemporary work-life balance policies and wellbeing activities.
  • Comprehensive private medical care options.
  • Life insurance and disability programs.
  • Tailored financial programs.
  • Additional elected or voluntary benefits.
  • Company-sponsored health and welfare programs.
  • Thrift Plan (401k) with a choice of coverage options.
  • Additional forms of compensation, such as bonuses, subject to applicable plans or policies.
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