Senior Manager, Marketing Operations - Orchestration & Automation Strategy

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

JOB TITLE: Senior Manager, Marketing Operations - Orchestration & Automation Strategy

Position Summary:

We’re looking for a Senior Manager of Marketing Operations to lead marketing orchestration operations and automation strategy across the buyer journey.

In this role, you’ll own the operational strategy for coordinated, data-driven engagement across the marketing funnel, ensuring programs are prioritized, personalized, measurable, and aligned to lifecycle progression. You’ll work at the intersection of marketing strategy, operations, data, technology, and AI to help teams move from disconnected campaigns to more integrated, scalable customer journeys.  You will be responsible for owning the operational architecture that helps the inbound and outbound motions work better together and will work in close partnership with the outbound and inbound strategy teams.

You’ll partner closely with our AI Strategy lead to bring AI-driven initiatives to life within marketing translating strategy into practical, scalable execution across our marketing programs. You will play a key role in supporting marketing transformation efforts by helping translate strategy into scalable operational execution. You will partner across teams to implement more data-driven, automated, and AI-enabled ways of working that improve efficiency and business impact.

Essential Job Responsibilities:

• Design and govern the operational framework for how prospects move across marketing programs, nurture streams, digital experiences, SDR motions, events, and campaigns working in close partnership with the inbound/outbound strategists.
• Own contact strategy, including audience prioritization, communication frequency standards, eligibility rules, and engagement governance.
• Define how competing programs should be prioritized when multiple teams are targeting the same audience.
• Partner with Demand Generation and Digital Experience teams to ensure campaign and channel strategies fit into a coordinated buyer journey.
• Support in the planning stages of new journeys helping to define audience strategy, automation needs, suppression logic and handoff requirements before campaigns launch.
• Translate journey strategies into clear operating rules, automation logic, program governance, and scalable execution models.
• Identify gaps, overlaps, and friction across the buyer experience and recommend improvements to simplify and improve engagement.
• Define journey logic, entry and exit criteria, trigger rules, suppression logic, and prioritization standards across lifecycle programs. Document orchestration rules, lifecycle logic, campaign interaction models, and governance standards.
• Define scalable ways of working that allow teams to execute coordinated journeys without slowing down campaign velocity.
• Partner with Marketing Operations peers responsible for campaign execution, lead flow, platform administration, analytics, and AI enablement.
• Continuously test and refine journey logic, segmentation, personalization, and automation approaches through structured experimentation.

Additional Job Responsibilities:

• Support broader marketing transformation efforts by helping translate strategic priorities into scalable operating models, workflows, and execution plans.
• Partner with Marketing, Sales, Revenue Operations, IT, and AI leadership to identify opportunities to modernize how marketing work gets done through process improvement, automation, and AI-enabled capabilities.
• Proactively assess cross-functional workflows to uncover opportunities for automation, AI, and process optimization, and lead initiatives to implement improvements through influence and partnership.
• Operationalize AI-enabled capabilities in partnership with AI leadership, ensuring use cases are practical, measurable, and aligned to business priorities.
• Support adoption of new tools, workflows, and AI-enabled capabilities across the marketing organization through documentation, enablement, stakeholder alignment, and change management.
• Help define repeatable frameworks, best practices, and governance approaches that enable marketing teams to scale transformation efforts consistently.
• Serve as a connector between strategy and execution, helping teams move from transformation concepts to measurable, operationalized programs.

Expected Education & Experience:

• 7+ years in Marketing Operations, Lifecycle Marketing, Demand Generation, Revenue Operations, or a related B2B marketing role.
• Familiarity with AI-enabled marketing capabilities and a track record of applying them in real-world use cases
• Experience building segmentation, personalization, suppression, prioritization, trigger, and eligibility frameworks.
• Strong understanding of lifecycle architecture, data flows, lead management, audience governance, and marketing-to-sales handoff processes.
• Experience designing and governing complex customer journeys, nurture programs, campaign interaction models, or lifecycle engagement strategies.
• Hands-on expertise with marketing automation platforms (Marketo, HubSpot, Pardot) and CRM systems (Salesforce)
• Strong analytical skills with experience using reporting/BI tools (Tableau, Power BI, or similar)
• Systems thinker with the ability to design and communicate complex workflows
• Strong collaborator who can influence across teams and translate strategy into execution
• Strong understanding of data models, data flows, and lifecycle architecture
• Strong collaborator who can influence Marketing, Sales, and IT
• Ability to translate strategy into execution and communicate complex concepts to non-technical stakeholders

AI & Automation Capabilities

• Demonstrated experience applying AI in marketing use cases (e.g., segmentation, personalization, lead scoring, journey decisioning, campaign optimization)
• Familiarity with modern AI tooling (e.g., generative AI, predictive analytics, CDPs, intent data platforms) and ability to evaluate/build use cases
• Understanding of prompt engineering, workflow automation, and/or integration of AI into marketing stacks
• Knowledge of AI governance, data privacy, and ethical considerations in marketing applications

Expected Compensation

The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates.  Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.