Senior Level Marketing Analytics Manager Jobs
Senior level marketing analytics manager jobs put experienced professionals in charge of measurement strategy, analytics roadmaps, and the cross-functional teams that turn data into revenue decisions. Roles are concentrated in Retail, Consumer Goods, and Technology & Software, with a 43% remote and hybrid mix, and employers like VeSync, Amazon, and Match hiring at this level now.
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INTRODUCTION
InvoiceCloud is a fast-growing fintech leader recognized with 20 major awards in 2025, including USA TODAY and Boston Globe Top Workplaces, multiple SaaS Awards wins for Best Solution for Finance and FinTech, and national customer service honors from Stevie and the Business Intelligence Group. Judges also highlighted our mission to reduce digital exclusion and restore simplicity and dignity to how people pay for essential services, as well as our leadership in AI maturity and responsible innovation. It’s an award-winning, purpose-driven environment where top talent thrives.
ROLE AND RESPONSIBILITIES
We are seeking a Director, Marketing Strategy & Analytics to join our Marketing team in Boston, MA (hybrid), reporting to the Chief Marketing Officer. Marketing is in the middle of an AI transformation, and this leader will serve as the CMO's strategic and analytical partner across Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing. The ideal candidate is a leader who can take an ambiguous question with no existing infrastructure and turn it into a working model and a clear recommendation, influencing senior leaders and cross-functional peers without relying on formal authority. This role is designed to grow: as the function scales, so will the scope, team, and level.
Success Profile
This role is anchored in our company's leadership competencies. These competencies reflect the mindsets and behaviors that define success in this role. Below is how each competency translates into meaningful impact and outcomes for this position.
Results-Driven:
- Build financial and marketing models from scratch, such as budget allocation, funnel and pipeline, ROI, forecasting, and scenario planning, and turn them into decisions leaders can act on.
- Measure what's working by building the models and scorecards that show whether AI is improving speed, cost, quality, and growth.
- Run the marketing leadership cadence by owning planning cycles, QBRs, priorities, metrics reviews, and follow-through, keeping the leadership team organized and accountable.
Customer-Centric:
- Partner with the CMO and marketing leaders to help decide where to invest, what to build, and how to measure results.
- Scope and direct the work for our marketing teams by turning big ideas into clear priorities, owners, and success metrics, and keeping momentum across teams.
- Lead through influence by aligning cross-functional peers and senior leaders without relying on formal authority.
Innovative:
- Act as the cross-functional partner to every marketing team, working with Corporate Marketing, Customer Marketing, Demand Generation, and Product Marketing to find where AI can improve campaigns, creative, web, and day-to-day work, and helping each team scope, prioritize, and adopt it.
- Change how our teams work by shaping new ways of working across marketing, including how work gets planned, handed off, reviewed, and shipped, and bringing teams along so the changes stick.
- Set the standards by defining what gets automated, what stays human, and how we keep quality high.
Strategic:
- Structure ambiguous problems by framing the question, defining the approach, and driving to an answer, on your own or with partners in Sales, Finance, Product, and RevOps.
- Review our tech stack by leading an open review of marketing's tools and data flows, and recommending what to keep, replace, consolidate, or build so the whole system is AI forward.
- Be the CMO's data thought partner by bringing insight, not just reporting: pressure-test assumptions, surface trade-offs, and prepare the CMO for executive and board conversations.
BASIC QUALIFICATIONS
- 10+ years of progressively responsible experience in strategy, FP&A, consulting, marketing ops/analytics, or growth; an MBA or equivalent experience is a plus
- Demonstrated understanding of revenue drivers, unit economics, go-to-market, and how marketing drives growth
- Hands-on experience using AI to do real work, such as building models, automating workflows, or scoping AI-enabled systems, and the ability to determine when AI is, and isn't, the right tool
- Proficiency building financial and marketing models in spreadsheets, with experience in financial modeling, marketing modeling, or both, and the ability to go from a blank sheet to a workable, defensible model without existing infrastructure
- A record of structuring ambiguous problems and solving them independently or in collaboration
- Experience presenting analysis and recommendations to executives and senior leaders and influencing decisions
- Ability to communicate complex analysis clearly and persuasively in writing
- Track record of seeking feedback and building new skills
- Experience evaluating tools, processes, and ways of working with a systems and operations lens is a plus
- B2B SaaS or fintech experience is a plus
- Experience with BI tools or SQL is a plus
BENEFITS
- Medical, dental, vision, life & disability insurance
- 401(k) plan with company match
- Flexible Time Off (FTO), wellbeing days, paid holidays, and summer Fridays
- Mental health resources
- Paid parental leave & backup care
- Tuition reimbursement
- Employee Resource Groups (ERGs)
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Top Industries Hiring
- Retail
- Consumer Goods
- Technology & Software
- Consulting & Professional Services
Senior Level Marketing Analytics Manager Jobs: Frequently Asked Questions
How do I get a senior level marketing analytics manager job?
Employers at this level look for candidates who have owned analytics programs end-to-end, not just contributed to them. Demonstrating that you have set measurement frameworks, led attribution modeling projects, and coached junior analysts sets you apart. A portfolio showing business impact, such as revenue lift or reduced customer acquisition cost tied directly to your analysis, closes the gap between a qualified candidate and the hire.
Which companies hire senior level marketing analytics managers?
Companies hiring senior level marketing analytics managers right now include VeSync, Amazon, and Match, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to concentrate at organizations with mature data infrastructure, including large consumer brands, enterprise software companies, and growth-stage firms scaling their performance marketing functions.
Are there remote senior level marketing analytics manager jobs?
Yes, remote availability at this level is substantial. About 43% of senior level marketing analytics manager openings are remote or hybrid as of November 2026, reflecting how many employers treat analytics leadership as location-flexible. Fully on-site roles do exist, particularly at companies that require close collaboration with data engineering or product teams embedded in a specific office.
What makes a marketing analytics manager role senior level?
Senior level roles carry ownership over the analytics function itself, not just individual workstreams. That means setting the measurement strategy, selecting and governing the tools and data stack, defining how the team prioritizes requests, and mentoring analysts earlier in their careers. Scope typically extends across multiple channels or business units, and senior managers are expected to communicate findings directly to executive or board-level stakeholders.
Which industries hire the most senior level marketing analytics managers?
Senior level marketing analytics manager roles concentrate in Retail, Consumer Goods, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they operate large paid media budgets, complex customer lifecycles, or both, making senior analytics leadership directly tied to measurable revenue outcomes rather than a support function.