劳动力市场信息/技能缺口负责人（公共部门）
Labor Market Information / Skills-Gap Study Lead (Public Sector)
AlphaGov正在寻找一位劳动力市场信息/技能缺口研究负责人，负责与劳动力委员会、州劳动力机构、地区理事会及相关公共雇主进行基于项目的分析工作。
您将设计并交付独立的劳动力市场、技能缺口、职业需求和劳动力风险研究——为公共客户产出可决策的成果。这属于分析咨询（方法+实际解读），而非职位安置、培训交付或人员补充。
您将负责：
- 设计LMI/技能缺口研究范围、数据计划和分析框架
- 使用公开和行政数据分析职业需求、供给、薪资、资质和区域劳动力风险
- 将研究成果转化为对雇主和政策相关建议
- 撰写清晰的书面报告、简报，以及可选的委员会/WDB演示文稿
- 在项目影响问题重叠时与AlphaGov评估专家合作
- 为AlphaGov提案贡献方法附录和技术叙述
要求
- 5年以上劳动力市场分析、劳动力研究、区域经济学或相关公共部门分析工作经验
- 有为WDB、州机构、地区理事会或类似公共客户交付技能缺口、职业或LMI研究的经验
- 强大的定量方法素养和通俗语言写作能力
- 能引用具体的过往公共项目（机构、角色、年份）
- 优先考虑：熟悉WIOA/WDB；使用Python/R/Stata或高级Excel；有咨询/分包经验；与项目评估人员合作的经验
最初发布于喜马拉雅山
查看英文原文
AlphaGov is seeking a Labor Market Information / Skills-Gap Study Lead for project-based analytic engagements with workforce boards, state workforce agencies, regional councils, and related public employers.
You will design and deliver discrete labor-market, skills-gap, occupational-demand, and workforce-risk studies — producing decision-ready findings for public clients. This is analytic consulting (methods + applied interpretation), not job placement, training delivery, or staff augmentation.
What you'll do:
- Design LMI / skills-gap study scopes, data plans, and analytic frameworks
- Analyze occupational demand, supply, wages, credentials, and regional workforce risk using public and administrative data
- Translate findings into employer- and policy-relevant recommendations
- Produce clear written reports, briefings, and optional board/WDB presentations
- Partner with AlphaGov evaluation SMEs when program-impact questions overlap
- Contribute methods appendices and technical narrative to AlphaGov proposals
Requirements
- 5+ years labor-market analysis, workforce research, regional economics, or related public-sector analytic work
- Demonstrated experience delivering skills-gap, occupational, or LMI studies for a WDB, state agency, regional council, or comparable public client
- Strong quantitative methods literacy and plain-language writing
- Ability to cite concrete past public projects (agency, role, year)
- Nice to have: WIOA/WDB familiarity; Python/R/Stata or advanced Excel; prior consulting/subconsulting; experience pairing with program evaluators
Originally posted on Himalayas