CLM Platform Lead

Baker Hughes•Houston, TX

About The Position

Serve 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. 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 with Business, Legal, Data & AI, Enterprise Architecture, Security, ERP/CRM, integration teams, infrastructure, and strategic vendors. The role has end-to-end technical and operational ownership of CLM design, build, migration, testing, deployment, stabilization, production support, upgrades, maintenance, and continuous improvement. It includes governing integrations and data practices; managing platform operations, complex issue resolution, vendors, budgets, and delivery; and advising leadership on progress, architecture decisions, risks, financials, dependencies, and trade-offs. The CLM Platform Lead also evaluates emerging CLM, agreement intelligence, GenAI/ML, and automation capabilities, while improving reuse, reducing technical debt and costs, and mentoring technical teams. The position requires approximately 15 years of relevant technology experience and a bachelor’s degree in a related STEM discipline. Strong enterprise CLM experience is required, preferably with DocuSign CLM/IAM. The role calls for a senior solution architect or technology leader with broad enterprise architecture, integration, migration, operations, vendor-management, financial, and executive-communication experience.

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, preferably DocuSign CLM/IAM.
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/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.
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 in highly time-sensitive environments, 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 consider 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 future 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.
Trusted solution-architecture and advisory skills connecting strategy, architecture, execution, operations, and commercial considerations.
Experience leading cross-functional discussions, driving delivery governance, providing decision-oriented leadership updates, holding teams accountable, mentoring, and promoting standardization and continuous improvement.
Strategic, solution-oriented, self-driven, and highly accountable approach; strong systems thinking and comfort operating autonomously in complex, ambiguous, time-sensitive, and cost-sensitive environments.
Strong executive presence and ability to influence across business, technology, Data & AI, vendors, and leadership.
Exceptional analytical, communication, negotiation, and structured problem-solving skills.
Proactive identification of risks, dependencies, scalability concerns, operational gaps, and expansion opportunities; persistence in driving initiatives and decisions through closure.

Responsibilities

Translate complex business requirements into practical end-to-end CLM solutions spanning 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, defining 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 the platform for scalability and future expansion across 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 action closure.
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 sustainability.
Coordinate strategic vendors, challenge designs and estimates where appropriate, and drive accountability for delivery, quality, support, and contractual commitments.
Manage time-sensitive and cost-sensitive initiatives, proactively addressing 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 updates on progress, architecture decisions, risks, financials, dependencies, trade-offs, and decisions required.
Evaluate emerging CLM, agreement intelligence, GenAI/ML, and automation capabilities for 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 dependency 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).
Choice of coverage options based on individual needs and benefit elections.
Comprehensive and competitive benefits package.
Eligibility for additional forms of compensation, such as bonuses, subject to applicable benefit plans or policies.