Senior Engineering Intelligence Developer

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.

What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.

Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.

Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.

Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!

At Anaplan, we’re looking for a Senior Engineering Intelligence Developer to build the measurement engine behind Product and Technology. This is not traditional BI. It is a hands‑on, high‑trust role for someone who can turn engineering toolchain data into the metrics leaders use to improve delivery, quality, investment, adoption, and the future AI-augmented SDLC.

You’ll sit in Engineering Enablement and own the intelligence layer for how engineering work is understood. That means shaping DORA and value-stream measurement across Atlassian, GitHub, CI/CD and adjacent tools; managing a KPI landscape of around 190 measures; and defining what we measure next as AI changes how software is planned, built, tested, and shipped.

We need a developer‑minded analytics specialist who can take an ambiguous leadership question, find the real problem, model the data properly, and create trusted self‑serve insight that lasts beyond the first dashboard.

Your Impact

• Own engineering intelligence end-to-end: raw data, modelling, semantic layers, dashboards, documentation, and the story behind the numbers.
• Build DORA metrics and value-stream measurement across Atlassian, GitHub, CI/CD, and related engineering systems.
• Make sense of a KPI estate of around 190 measures spanning delivery, quality, dependency health, investment, and adoption.
• Define the next generation of SDLC metrics as AI changes how engineering work is planned, built, tested, and shipped.
• Advise when to build, buy, embed, or consume AI-enabled BI through Rovo, Atlassian Intelligence, Tableau/eazyBI, Power BI, and similar tooling.
• Turn broad questions from senior engineering leaders into clear, defensible, actionable answers.
• Contribute to engineering delivery through development tasks, data quality checks, and test data that improve completeness and confidence.
• Set the standards for definitions, governance, and modelling so Engineering Intelligence remains trusted as access broadens.

Your skills

• Strong experience in reporting, BI, or analytics engineering within an Atlassian-heavy or comparable engineering toolchain.
• Deep SQL skills across warehouses with hundreds of tables, plus the judgment to turn complexity into usable models.
• Python capability for harder transformations, enrichment, automation, and data‑quality work.
• A track record of building semantic layers, governed definitions, and reusable models that outlast the person who built them.
• Practical familiarity with DORA, value-stream measurement, DevOps data, and CI/CD pipeline data.
• Hands‑on experience with eazyBI, Power BI, Tableau, or comparable BI platforms.
• Working knowledge of development practices and tools, including repositories, build tooling, scripting languages, and agile delivery.
• Consulting strength: you can shape requirements, explain trade‑offs, and challenge metrics that would mislead.
• High ownership and autonomy: you can run a specialist domain without a large support team.

Nice to have

• Familiarity with Atlassian data models such as Jira, Confluence, Jira Align, and JSM Assets. Including use of Atlassian Analytics.
• Experience in a SaaS, software development, or platform engineering environment with multiple stakeholders and shifting priorities.

Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB)

We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Privacy & AI Notice

C andidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.

#J-18808-Ljbffr

Full job description from WhatJobs. Apply for this role →