Job Description

Title: Program Manager Location: Remote, US Duration: 12 months Compensation: $61 - $81 Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Job Description Summary The primary function of a non-IT Program Manager (Data Analytics) is to own service program cost modeling, scenario analysis, and financial performance reporting for value-added service programs and new product introduction (NPI) initiatives. Core Skills Strong verbal and written communication skills Problem-solving and attention to detail Ability to work independently and manage time effectively Leadership and mentoring capabilities Knowledge of production processes, quality control, and cost optimization Understanding of business and management principles (strategic planning, resource allocation) Proficiency in tools such as MS Word, PowerPoint, Project, Visio Role Overview The Program Manager (Data Analytics) is responsible for program cost modeling, scenario analysis, and financial reporting across value-added service programs. This role partners closely with Product, Sales, NPI, Service Operations, and Data Science teams to drive data-informed decisions that maximize profitability and operational efficiency. This position requires a mix of technical analytics, financial modeling, and stakeholder management to identify cost reduction opportunities, optimize pricing strategies, and support long-term program growth. Key Responsibilities Own end-to-end cost‑per‑unit modeling (pricing, margin, revenue, profit analysis) Build cost models aligned with operational metrics (returns, yields, reliability, projections) Partner with cross-functional teams to align pricing strategies and ensure consistency Develop reporting frameworks for financial and operational metrics (claims, cash flow, program health) Identify cost optimization opportunities across packaging, shipping, and operations Conduct scenario and “what‑if” analyses to evaluate business impact Leverage AI tools to track KPIs, measure success, and standardize reporting Lead cross-functional reviews and present insights to leadership Optimize financial reserves and support capital management strategies Forecast claims and support service planning Analyze large datasets to inform program strategy and investment decisions Build scalable financial models and forecasts Track program success through KPIs and reporting Coordinate projects and ensure alignment across technical teams Qualifications Bachelor’s degree in Mathematics, Data Science, Engineering, Business, Finance, or related field 3+ years of experience in data analytics, financial modeling, or program cost management Proficiency in SQL and scripting languages (e.g., Python) Experience solving analytical problems using quantitative methods Experience leading data‑driven projects end-to-end Experience with data visualization tools (Tableau, Excel, Looker Studio, etc.) Strong ability to derive insights from complex datasets Additional Experience Experience with Google Workspace and diagramming tools (e.g., Lucidchart) Ability to perform exploratory analysis with minimal direction Proven cross‑functional collaboration across technical and non‑technical teams Strong communication, problem‑solving, and organizational skills Business Context Leads cross‑functional efforts to build support plans and ensure deadlines are met Position is open due to increased workload and need for additional resources Performance Metrics Ability to meet deadlines Effectiveness in cross‑functional communication Ability to manage complexity and deliver results Candidate Requirements Must‑Have Skills 3+ years in data analytics, financial modeling, or program cost management (SQL + Python) Experience leading data‑driven projects and solving analytical problems Experience with dashboards and visualization tools Nice‑to‑Have Skills Not specified Years of Experience 5+ years program management experience Education Bachelor’s Degree required Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #J-18808-Ljbffr

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