Director, Strategic Finance Data and Analytics

Director, Strategic Finance Data and Analytics

• Full-time

• Workplace Type:
Hybrid

• Department:
Finance Linked In  is the world’s largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We’re also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that’s built on trust, care, inclusion, and fun – where everyone can succeed.

Join us to transform the way the world works.

This role will be based in San Francisco or Mountain View.

At Linked In, our approach to flexible work is centered on trust andoptimizedfor culture, connection, clarity, and the evolving needs of our business.

The work location of this role is hybrid, meaning it will be performed both from home and from a Linked In office on select days, asdeterminedby the business needs of the team.

The role of ourMarketplace

Strategic Finance org is to make sense of complexbusinessdata to help Linked In make the best strategic decisions to grow andoperatethe business. The Strat Fin Data  and Analytics team (FDNA) isa multidisciplinary team of data and analytics professionals, where we build decision-grade intelligence for business performance management, short/long-term forecasting, and business optimization across Linked In’s member ecosystem and monetization channels.

We are on a multi-year journey to empower the best strategic finance organization with:
- Easy access to a rich set data, metrics, and reports curated for finance
- Analytics partnership to bring clarity to complex problems
- ML/AI tools that augment existing processes around performance monitoring and forecasting

We’reseeking an experienceddataleader to own and scale

FDnA. You will set product vision and operating cadence, partner closely with Strategic Finance leadership, and ensure continuity and evolution of the core data assets the team has  Responsibilities:

Execution & Organization
- Lead and develop a high‑performing, multi‑disciplinary team spanninganalytics engineering, business intelligence, and ML/AIapplications. Establish operating rituals for roadmap, OKRs, and quality.
- Own end‑to‑end delivery ofFDnAdata foundations, reports/dashboards,and intelligentapplications;ensure reliability and scaleacross

Strat

Fin’sdata ecosystem.
- Partner cross‑functionally (Finance, Product, Sales, Engineering) to integrate

FDnAassets into business workflows for performance management, forecasting, and  Thinking
- Understand the highest priorities of the business and proactively provide insights and build data products to support those priorities
- Champion novel ideas and AI‑enabled workflows; develop execution plans and roadmaps forFDn Aapplications Stakeholder  Influence
- Synthesize performance drivers, forecasts, and trends into clear narratives that influence senior stakeholders; drive alignment on strategic decisions and trade‑offs.
- Serve as a thought partner to Strategic Finance leaders on whereemerging tools and technologies indata and AI willunlock faster time‑to‑insight.

Basic Qualifications

* Bachelor's Degree inquantitativediscipline: statistics, operations research, computer science, informatics, engineering, applied mathematics, economics, or related

AND minimum
10years of experienceindata and analytics, or related field OR equivalent experience

* 5+ years leading multi‑disciplinary teams that ship data products/AI solutions used in business decisioning.

* Skilled in SQL, Python, and Data Visualization

Preferred Qualifications

* Proven success building curated data assets and AI/ML‑driven applications for forecasting, anomaly detection, and prescriptive insights

* Expertise with modern data/BI platforms (e.g., Microsoft Fabric,Databricks) and production‑grade pipelines(e.g.Airflow, Spark)

* Domain familiarity withvariousmonetization models (B2B SaaS, B2C SaaS, Online Media)

* Track recordof operational efficiency (automation at scale), with measurable time‑savings and accuracy improvements acrossbusinessprocesses.

*…