Director of Analytics

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/ $230000 - $230000 annum

INFO

Salary

SALARY:

$230000 - $230000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Director, Data Science & Analytics

Remote (East Coast Hours) | $230k Base + Bonus + Equity

Overview

We're partnering with a high-growth technology business to hire a Director of Data Science & Analytics. This is a leadership role focused on building a high-performing team, increasing the impact of Data Science across the business, and partnering with senior stakeholders across Marketing, Sales, Customer Success, and RevOps.

The team is at an exciting stage of growth, with significant opportunity to shape culture, processes, and the future direction of the function.


Role Expectations

  • Lead and develop a growing team of Data Scientists and Analytics professionals.
  • Build a collaborative, cross-functional culture across Marketing, Sales, Customer Success, and RevOps.
  • Partner with senior stakeholders to identify, prioritise, and deliver high-impact initiatives.
  • Ensure analytical and data science solutions address real business challenges and drive measurable outcomes.
  • Provide technical leadership and oversight without being a hands-on individual contributor.
  • Deliver key projects including Lead Scoring and Marketing Mix Modelling (MMM).
  • Help establish the Data Science function as a trusted strategic partner to the business.

Experience Must-Haves

  • Previous experience managing and developing teams.
  • Experience operating successfully in ambiguous or fast-changing environments.
  • Strong stakeholder management skills, including influencing senior leaders and managing competing priorities.
  • Demonstrated experience leading transformation, change, or function-building initiatives.
  • Strong commercial experience supporting Marketing, Sales, GTM, or Customer Success teams.
  • Ability to write SQL and confidently read/review Python code.
  • Proven track record of delivering measurable business impact.
  • Experience driving cross-functional initiatives involving multiple stakeholder groups.

Nice-to-Haves

  • Experience across both Marketing and Sales functions.
  • B2B SaaS background.
  • Experience within subscription-based or recurring revenue businesses.
  • Exposure to Lead Scoring, MMM, LTV, attribution, or other commercial modelling techniques.
  • Experience using AI-assisted development tools such as Claude.
  • Prior experience building or scaling Data Science capabilities within an organisation.
  • Background in environments requiring both strategic leadership and operational execution.

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