{"id":2009993,"url":"https://alion.io/job/sofi-senior-engineering-manager-people-analytics","title":"Senior Engineering Manager (People Analytics)","company":{"id":12297,"name":"SoFi","domain":"sofi.com","url":"https://alion.io/company/sofi","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":163200,"max":280500,"currency":"USD","period":"year","gross":null,"usd_annual":280500},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cortex","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"LLM","optional":false},{"name":"Platform Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Streamlit","optional":false},{"name":"Amazon Redshift","optional":true},{"name":"CI/CD","optional":true},{"name":"dbt","optional":true},{"name":"GCP","optional":true},{"name":"GitLab","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-09-04T00:16:10Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-14T00:40:23Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"Join our team as a Senior Engineering Manager (People Analytics) where you will lead the data engineering function supporting People Analytics. This role requires hands-on technical leadership and people leadership, with a strong focus on business partnership. You will manage and develop a team of data engineers, create a strong engineering culture, collaborate with cross-functional teams, and own engineering standards. Additionally, you will support AI-enabled analytics and balance speed and rigor in your work.\nMissions\nManage and develop a team of data engineers, setting expectations for quality, collaboration, delivery, and technical ownership.\nCollaborate with cross-functional teams to translate requirements into production-ready deliverables, and communicate technical trade-offs to non-technical partners.\nLead the design, maintenance, and improvement of scalable People data foundations, including data models, pipelines, and testing frameworks.\nProfil recherché\n - Proven ability to coach engineers and build healthy technical culture- Experience with data quality, testing, lineage, observability, and production support\n- Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans\n- Strong communication with technical and non technical stakeholders\n- A bachelor's degree in Computer Science, Data Science, Engineering, or a related 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