Marketing operations strategy: Defines and runs the operating model for MSA Marketing, including planning, intake, workflow, campaign execution standards and operating rhythm. Uses modern AI and automation capabilities to accelerate process design, documentation, alignment and execution, while making sure teams across Brand, Events, Customer & Partner, and Growth Marketing work from shared processes, systems and data. Marketing transformation: Sets and drives the roadmap to modernize how Marketing plans, builds, runs and measures its work, applying AI and automation where they deliver measurable gains. Operates as a tech-forward, early adopter who actively explores emerging AI, agentic and automation capabilities, models their use in day-to-day work, and identifies opportunities to improve how the broader organization operates. Moves from pilots to scaled adoption, with clear business cases and measured productivity and performance gains. Automated and agentic workflows: Partners with Engineering and Product to design, build and launch automated workflows and AI agents. Examples include campaign planning assistants and marketing tactic tools that cut cycle time and manual effort. Lead generation and lifecycle management: Owns the end-to-end lead strategy and framework: lead capture, enrichment, scoring, routing, nurture and handoff to Sales. Defines lead stages, service-level agreements and conversion standards with Sales so pipeline is trusted and acted on. Lead acquisition, quality and conversion: Partners across Growth Marketing and Sales to improve customer and lead acquisition, lead volume, quality and speed-to-sale through audience and channel optimization, experimentation, data enrichment, propensity and predictive scoring, segmentation and testing. Reports lead funnel performance from top-of-funnel through pipeline and revenue. Growth systems and martech stack: Owns the strategy, roadmap and health of the martech stack, including CRM and marketing automation (such as Dynamics 365 and HubSpot), marketing resource management, and data and integration layers. Drives platform consolidation, integration and adoption. Data, governance and compliance: Builds privacy-first practices, consent management, data quality standards and responsible AI principles into every system, workflow and automation. Cross-team partnership and thought leadership: Works with Marketing Science, Sales, Finance, Product and Engineering to align priorities, dependencies and roadmaps. Serves as a thought leader on modern marketing operations, martech, AI and growth systems, bringing emerging practices and capabilities into the organization and helping teams determine where they can create meaningful business value. Gives Marketing one clear voice on operations and technology needs. People leadership: Leads, coaches and develops a team of marketing operations and marketing technology managers. Sets clear ownership, goals and accountability, leads by example in adopting new technologies and ways of working, and enables the team to experiment, learn and continuously evolve its capabilities. Executive communication and operating visibility: Establishes a proactive communication rhythm that keeps leadership informed of progress, priorities, risks, decisions and what's next across Marketing Operations and Growth Systems. Creates clear mechanisms for status, expectation-setting and escalation so leaders have visibility without creating unnecessary operating overhead. Change management and adoption: Leads adoption of new systems, processes and tools across a large marketing organization. Builds teams' skills and confidence through training, enablement and clear standards. Program leadership: Drives large, multi-semester operations and systems initiatives. Tracks milestones, budgets and deliverables, and proactively resolves blockers and risks across senior and executive stakeholders. Insights for leadership: Turns operational, funnel and system-performance data into clear recommendations for leadership on priorities, investment and process changes. Deliver a rationalized martech roadmap with clear ownership across the team. Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 10+ years of marketing operations, program management, project management, or related experience Master's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 8+ years of marketing operations, program management, project management, or related experience OR Bachelor's Degree in Business, Marketing, Communications, Finance, Engineering, or related field AND 12+ years of marketing operations, program management, project management, or related experience OR equivalent experience. 6+ years technology/process improvement experience. 5+ years of people management experience, including leading managers and building high-performing marketing operations or martech teams. 7+ years of experience owning marketing operations across multiple marketing functions, such as brand, events, customer & partner, and growth or performance marketing. 5+ years of experience leading B2B lead generation and lead lifecycle management, including lead scoring, routing, enrichment, nurture, and Sales handoff and service-level agreements. 5+ years of hands-on experience with enterprise CRM and marketing automation platforms, such as Dynamics 365, HubSpot, Marketo, Salesforce or Eloqua, including integration and data architecture. 3+ years of experience leading automation or AI-enabled transformation in a marketing or go-to-market organization, including moving use cases from pilot to production with measurable business impact. 7+ years of experience leading change management and driving adoption of new systems, processes or tools across large, cross-functional organizations, including leading through influence. Experience operating in privacy-first environments, with fluency in consent frameworks, data governance and responsible AI practices. Experience building funnel and operational reporting using business intelligence tools such as Power BI, Tableau or Looker. Proven ability to turn complex operational and performance data into clear, executive-ready recommendations and narratives.