VP, Lead to Cash
About the role
The ideal candidate is an enterprise platform leader who understands how technology, data, process, and business operations intersect to drive growth. They bring a product mindset, strong financial and operational acumen, and a track record of modernizing complex business environments through scalable systems, automation, governance, and cross-functional alignment. They can translate strategic priorities into platform capabilities while balancing business value, risk, adoption, controls, and long-term scalability.
Responsibilities
Own the Lead-to-Cash and enterprise systems application roadmap, ensuring alignment with business objectives, digital transformation priorities, and long-term scalability.
Serve as the primary decision-maker for system capabilities, roadmap prioritization, governance standards, and future-state architecture direction.
Prioritize enhancements, integrations, workflow automation, and process improvements based on business value, operational impact, risk, and strategic importance.
Maintain a multi-year capability roadmap, define and maintain system governance, standards, policies, and operating procedures.
Lead-to-Cash Business Process Management
Oversee and optimize the end-to-end Lead-to-Cash process, including lead and opportunity management, CPQ, contract lifecycle management, order management, professional services automation, billing and invoicing, revenue recognition, collections, and customer account management.
Ensure process consistency, scalability, and compliance across business functions. Identify process bottlenecks and drive continuous improvement initiatives that improve speed, accuracy, control, and customer experience.
ERP Data & Enterprise Operating Model
Oversee ERP functionality supporting finance, procurement, inventory, professional service automation, operational processes, data entry, and reporting.
Partner with Finance, Sales, Operations, IT leaders to optimize workflows, controls, and reporting capabilities, integrations, and data quality.
Maintain strong data integrity, system controls, compliance readiness, business continuity practices across the enterprise system ecosystem.
Transformation, Automation & Future Capabilities
Define the future-state Lead-to-Cash operating model, including opportunities to apply AI, workflow automation, predictive analytics, and intelligent process design.
Identify and prioritize automation opportunities that reduce manual effort, improve decision velocity, increase scalability, and strengthen revenue operations.
Partner with business and technology leaders to evaluate emerging capabilities and translate them into practical, governed, value-based investments.
Ensure modernization efforts improve business speed, data quality, customer experience, operational resilience, and measurable enterprise value.
Stakeholder Engagement & Delivery Oversight
Act as the liaison between executive stakeholders, business process owners, technical teams, vendors, and implementation partners.
Facilitate cross-functional alignment on priorities, decision rights, requirements, risks, tradeoffs, and system changes.
Lead governance forums and steering committee discussions focused on roadmap decisions, value realization, operational risk, and enterprise readiness.
Communicate system performance, roadmap progress, investment needs, project status, risks, and recommendations to senior leadership.
Provide delivery oversight for major initiatives, upgrades, integrations, and automation while ensuring project execution remains clearly owned by delivery teams, vendors, product owners.
Governance, Reporting, Risk & Controls
Establish data governance standards across Lead-to-Cash platforms.
Ensure accurate operational and financial reporting is available to support decision-making.
Develop KPIs and dashboards to monitor business performance and process effectiveness.
Ensure systems meet security, compliance, segregation of duties, audit, business continuity, and disaster recovery requirements.
Support internal and external audits and regulatory reporting requirements.
Qualifications
Required:
Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field.
Minimum 10 years of relevant experience in enterprise systems strategy, platform ownership, and business process management.
Proven track record of successfully leading complex business environments through modernization efforts.
Strong understanding of ERP systems, data governance, and enterprise operating models.
Experience with AI, workflow automation, predictive analytics, and intelligent process design.
Excellent communication, stakeholder engagement, and leadership skills.
Ability to balance business value, risk, adoption, controls, and long-term scalability.
Preferred:
Master's degree in Computer Science, Information Systems, Business Administration, or related field.
Experience in a similar role within a large-scale organization.
Experience with Agile methodologies and DevOps practices.
Experience with data science and machine learning techniques.
Experience with cloud-based systems and infrastructure.
Skills
Enterprise systems strategy and platform ownership
Lead-to-Cash business process management
ERP data and enterprise operating model
Transformation, automation, and future capabilities
Stakeholder engagement and delivery oversight
Governance, reporting, risk, and controls
Benefits
At Dynata, we offer a comprehensive benefits package including:
Health insurance
Retirement plans
Flexible spending accounts
Employee assistance programs
Professional development opportunities
Work-life balance initiatives
Pay
$170K - $220K/yr; however, base pay offered may vary depending on location, job-related knowledge, skills, and experience.
Schedule
Full-time position.