▷ (3 Days Left) Senior Manager, Data Science

Job Description

Working at Atlassian

Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.

Atlassian seeks a Senior Manager to lead a high-performing Data Scientists/Analysts team that supports the Data Center suite of products and critical initiatives around them. The team provides insights from customer friction to help influence enhancements in Atlassian products, engineering, tools, and supportability to deliver high-quality customer experiences. The Senior Manager and the team are also responsible for innovative analytics solutions and data-driven process changes that help increase the efficiency of Engineers, Product and Design in the organization.

The ideal candidate will be a seasoned people manager with a background in applied statistics, economics or a related quantitative field. We are looking for someone with solid commercial awareness, who is comfortable with ambiguity and complexity, and has experience working with senior leaders and cross functional teams. You are a self-starter, strategic problem solver, and a humble leader. With demonstrated success in using data science to drive understanding, progression, and decision making for large organizations.

Responsibilities

In this role, you will:

- Lead a team of 10+ data scientists focused on deriving insights from customer friction to influence Atlassian products, engineering, tools, and process enhancements.

- Be a people manager with experience in data science, analytics, applied statistics, a related quantitative field, and deep data engineering knowledge.

- Partner with senior leaders to identify business opportunities and build Indicators.

- Partner with multiple teams to lead transformative projects and make an impact.

- Build shared vision, empower the team, and deliver high-quality outcomes.

- Create intuitive analytics insights, build data science solutions, and measure the impact.

- Manage roadmaps, sprint planning, partner engagement, and remove blockers when needed.

- Advocate team's work and coach data storytelling.

Qualifications

- 10+ years of experience in data analytics and data science field

- 7+ years of experience as a people manager

- Success at managing global and remote teams

- Success at building a culture of data-informed decision-making, fast learning, and new ideas

- Strong technical background in statistics, measurement, experimentation, modeling, SQL, R/Python, data instrumentation

- Experience applying advanced analytics knowledge to the real world

- Roadmap planning, sprint planning, and project management skills

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit .

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.