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Aras Corporation
Director, Revenue Analytics & AI Enablement
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What they do
A Revenue Manager manages revenue flows for an organization. Prepares financial statements and business activity and forecasting reports; supervises accounting and preparation of financial reports; advises management with regard to finance decisions.
$165,813 / year median in the U.S.
+8% projected growth
Job Description
Director, Revenue Analytics & AI Enablement Aras Corporation
- 3.0 Andover, MA Job Details Full-time $145,000
- $170,000 a year 1 day ago Benefits Paid holidays Disability insurance Health insurance Dental insurance Paid time off Vision insurance 401(k) matching Life insurance Qualifications Performance dashboard reports Dashboard development AI use case identification Stakeholder engagement Sales analytics & reporting tools Data migration Data preparation projects Conversion rates analysis Marketing company internal data Dashboard creation support Managing data teams Sales data analysis Azure Synapse Analytics Team development Team training Leading team collaboration initiatives Data-driven problem-solving Database migration or upgrading Technical training AI-driven automation Senior level Technical architecture Communication skills Teaching Cross-functional communication Full Job Description Aras is a leader in product lifecycle management (PLM) and digital thread solutions.
- turn fragmented GTM data into clear visibility on funnel performance, identifying where leakage happens and what's actually driving (or hurting) win rate Data fluency & AI adoption across GTM
- be the driving force behind Sales, Marketing, and CS becoming genuinely data-forward teams, including hands-on enablement, training, and evangelism, not just building tools and hoping they get used Data migration & cleanup
- leading the work (with your direct report and functional Ops teams) of getting GTM data into a modern, trustworthy data platform, in partnership with IT AI strategy and enablement
- be the driving internal voice on how we use AI across go-to-market: which use cases are worth building, which tools fit our stack, and how we sequence adoption Cross-functional data adoption
- help drive functional Ops teams to prioritize migrating and cleaning their data. Leadership will help remove roadblocks and apply pressure where needed Proactive, strategic dashboard/reporting design
- anticipate what the business will need to see before it's asked for, and surface insights on your own initiative Partnership with IT on infrastructure, security, and access considerations as data migrates Managing one direct report who handles much of the hands-on technical build work What Success Looks Like in the First 6-12 Months Measurable movement on a GTM outcome e.
- not just built, but genuinely used A clear, prioritized migration roadmap. Define which data moves first, and why (partnering with IT and each Ops team) At least one instance of proactively surfacing a dashboard, metric, or insight that leadership didn't explicitly ask for Candidates should have... A track record of using data to change a GTM outcome
- improving a conversion rate, catching funnel leakage, or otherwise making a sales, marketing, or CS team measurably more effective through data Strong communication and teaching ability
- able to make data and AI concepts land with non-technical GTM stakeholders, and to build genuine fluency and adoption, not just tools that sit unused Solid working knowledge of modern data platforms (Microsoft Fabric/Synapse or comparable)
- enough to be credible and to partner effectively with IT and your technical direct report, though deep hands-on architecture experience is a plus rather than the primary bar Genuine, current fluency with AI tools and workflows
- hands-on experience actually driving AI adoption inside a team or function, with informed opinions on what's worth building versus what's hype Comfortable engaging with cross-functional stakeholders
- able to make the business case for a data or AI investment and hold your own in that conversation Comfort managing one direct report closely and hands-on, without needing a larger team to feel senior in the role Ability to maintain reasonable working-hours overlap with a US Eastern-based team , even though this role is fully remote This role is hired first for outcomes — the person who can turn GTM data into visibility, fluency, and measurable performance improvement across Sales, Marketing, and CS.
- Applicants must be authorized to work in the United States We were recognized as a leader in The Forrester Wave™: Product Lifecycle Management for Discrete Manufacturers, Q3 2025.
- 170,000.
- and long-term disability coverage for added peace of mind.