{"id":1483401,"url":"https://alion.io/job/jpmorganchase-sr-manager-of-software-engineer-data","title":"Sr Manager of Software Engineer - Data","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":95,"open_postings":723,"ghost_share":0.01,"stale_share":0.342,"repost_share":0.087,"time_to_fill_p50_days":8,"computed_at":"2026-10-20T05:45:00Z"}},"role":"Management","role_family":"Management","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":243000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":4487},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-09-29T19:25:36Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-20T10:56:53Z","board_verified":true,"closed_at":null,"days_open":20,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":20},"description":"As a Senior Manager of Software Engineering, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.\nJob responsibilities\nLead and deliver the integrated modernization plan across application delivery, data engineering, migration, integration, testing, parallel run, operational readiness, production cutover, and decommissioning.\nLead and develop a high-performing data engineering organization, including staffing, coaching, performance management, delivery quality, succession planning, and continuous improvement.\nProvide inclusive people leadership through regular coaching, mentoring, feedback, career development, and recognition that enables team members to grow and perform at their best.\nDefine and execute the data engineering strategy for ingestion, transformation, data quality, metadata, lineage, data products, and analytical consumption.\nOversee data platform delivery across Snowflake, Databricks, AWS data services, Redshift, S3, and related orchestration and streaming technologies.\nEstablish engineering standards for scalable pipelines, reusable frameworks, automated testing, observability, incident response, cost management, security, and supportability.\nPartner with data architecture, governance, analytics, risk, business, and domain teams to establish trusted data ownership, access controls, service levels, and regulatory compliance.\nCoordinate scope, milestones, critical-path activities, readiness criteria, and dependencies across APIs, Kafka and Avro contracts, data models, legacy capabilities, downstream consumers, infrastructure, and external partners.\nManage program governance, including executive reporting, risk and issue resolution, decisions, change management, dependency escalation, and outcome-based measures, while leading parallel-run, migration, cutover, and decommissioning planning.\nBuild strong relationships with senior leaders, product owners, delivery leads, vendors, and dependent programs, communicating complex topics clearly and driving accountability across teams.\nRequired qualifications, capabilities, and skills\n10+ years of overall professional experience, including 4+ years in a people leadership role.\nExperience managing complex programs with multiple workstreams, delivery teams, and executive stakeholders.\nDemonstrated success delivering enterprise modernization, platform migration, application transformation, or comparable initiatives.\nStrong experience with program governance, integrated planning, dependency management, risk and issue resolution, and executive communications.\nAbility to understand and communicate technical concepts involving cloud platforms, APIs, event-driven architecture, data platforms, and distributed systems.\nDemonstrated experience managing data engineering teams and delivering enterprise data platforms, pipelines, or analytical data products.\nStrong understanding of modern data engineering practices, including batch and streaming ingestion, data modeling, orchestration, data quality, lineage, governance, and platform reliability.\nStrong analytical, organizational, negotiation, and decision-making skills.\nHands-on familiarity with Snowflake, Databricks, Delta Lake, Spark, AWS data services, Redshift, S3, and enterprise data integration patterns.\nBachelor's degree or equivalent experience.\nPreferred qualifications, capabilities, and skills\nExperience with finance, lending, originations, servicing, or other financial-services domains.\nFamiliarity with AWS, microservices, Kafka, Avro, Camunda or workflow orchestration, and modern data architectures.\nExperience leading data platform modernization, cloud migration, lakehouse adoption, or consolidation of legacy analytical platforms.\nExperience leading legacy-platform replacement, parallel operations, data migration, or production cutover programs.\nExperience establishing technology operating models, delivery metrics, and executive-level governance 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