{"id":4326812,"url":"https://alion.io/job/american-electric-power-technical-manager-data-platforms-products","title":"Technical Manager – Data Platforms & Products","company":{"id":1755069,"name":"American Electric Power","domain":"aep.com","url":"https://alion.io/company/aep-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":50,"ghost_share":0.02,"stale_share":0.02,"repost_share":0.16,"time_to_fill_p50_days":14,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":136539,"max":177503,"currency":"USD","period":"year","gross":null,"usd_annual":177503},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Master Data Management","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Cognos","optional":true},{"name":"Databricks","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-13T00:00:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-15T01:40:56Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Posting End Date\n11-18-2026Please note the job posting will close on the day before the posting end date.\nJob Summary\nWe are seeking a dynamic and technically strong Technical Manager - Data Platforms & Products to lead enterprise data engineering, data platforms, reporting and analytics, data products, and large-scale data conversion initiatives.The ideal candidate combines strong technical depth with delivery leadership and can work effectively across internal teams, business stakeholders, architects, and multiple co-source partners. This is a hands-on leadership role requiring the ability to challenge technical solutions, drive accountability, manage complex dependencies, and deliver scalable, reliable data capabilities.\nJob Description\nWhat You'll Do:\nLead delivery across data engineering, data platforms, data products, reporting, analytics, and data integration.\nProvide technical leadership across cloud data platforms, ETL/ELT, SQL, Python, data modeling, APIs, data quality, orchestration, and BI/reporting.\nLead large-scale data conversion and migration programs, including data profiling, source-to-target mapping, transformation, reconciliation, testing, cutover, and production stabilization.\nDrive modernization of legacy data and reporting solutions to modern cloud platforms such as Snowflake, DBT, AWS/Azure, and Power BI.\nLead MDM initiatives, including master data architecture, data domains, match/merge, survivorship, hierarchy management, data quality, governance, and integration with enterprise systems.\nReview and challenge architecture, engineering designs, vendor estimates, and implementation approaches to ensure scalability, reliability, performance, and supportability.\nLead blended teams consisting of employees, contractors, and multiple co-source partners, establishing clear ownership and accountability.\nPartner with business teams to deliver trusted, reusable data products and analytics capabilities aligned with business outcomes.\nDrive strong engineering practices across DevOps/DataOps, automation, testing, monitoring, data quality, and production readiness.\nDevelop internal technical talent and ensure effective documentation and knowledge transfer from external partners.\nProactively identify technical and delivery risks and communicate effectively across engineering teams, business stakeholders, and senior leadership.\nWhat we’re looking for:\nEducation:\nBachelor’s degree in computer science, engineering, business, or related technical field is required. An equivalent combination of education and related experience may be considered.\nExperience:\nIn addition to any experience required above, 8 or more years of technology experience; 4-6 years of direct supervision experience preferred.\nPreferred Qualifications:\n10+ years of experience in technology, with strong experience in enterprise data and analytics.\n3-5+ years of technical or engineering leadership experience.\nProven experience leading major enterprise data conversion, migration, or modernization programs through production cutover.\nStrong knowledge of data engineering, ETL/ELT, SQL, data modeling, cloud platforms, integration, data quality, and reporting/analytics.\nExperience with technologies such as Snowflake, Databricks, AWS/Azure, Python, dbt, Spark, Power BI, Cognos, or similar platforms.\nPractical experience applying AI/GenAI to data engineering, automation, data quality, metadata, or engineering productivity.\nProven ability to lead multiple vendors/co-source partners and distributed technical teams.\nStrong understanding of architecture, SDLC, Agile, DevOps/DataOps, testing, deployment, and production support.\nStrong technical judgment with the ability to challenge designs, identify risks, solve complex problems, and drive decisions.\nExperience with Master data management tools\nIdeal Leadership Profile\nWe are looking for someone who is technically credible, proactive, collaborative, and execution-focused. The successful candidate should be equally comfortable in a technical design review, a data-conversion cutover, a vendor delivery discussion, or an executive status meeting.\nMost importantly, this leader will take ownership, build a one-team culture, hold teams and partners accountable, and translate strong engineering into measurable business outcomes.\nAmerican Electric Power (On-Site)\nAt AEP, we’re more than just an energy company - we’re a team of dedicated professionals committed to delivering safe, reliable, and innovative energy solutions. Guided by our mission to put the customer first, we strive to exceed expectations by listening, responding, and continuously improving the way we serve our communities. If you're passionate about making a meaningful impact and being part of a forward-thinking organization, this is the company for you!\nCompensation Data\nCompensation Grade:\nSP20-010Compensation Range:\n$136,539.00 - $177,503.00The Physical Demand Level for this job is: S - Sedentary Work: Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently. (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.\nHear about it first! Get job alerts by email. Log in to your Candidate Home Account today! If you don't have an account, you can create one.\nIt is hereby reaffirmed that it is the policy of American Electric Power (AEP) to provide Equal Employment Opportunity in all respects of the employer-employee relationship including recruiting, hiring, upgrading and promotion, conditions and privileges of employment, company sponsored training programs, educational assistance, social and recreational programs, compensation, benefits, transfers, discipline, layoffs and termination of employment to all employees and applicants without discrimination because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, veteran or military status, disability, genetic information, or any other basis prohibited by applicable law. 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