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Job Title: Senior Resource Planner (Manufacturing & Power Gen)
Location: Alpharetta, GA (On-site/Hybrid)
ROLE SUMMARY
We are seeking a highly analytical Senior Resource Planner to lead the optimization of our project lifecycle, from planning through commissioning. This is not a traditional scheduling role; you will act as a strategic advisor, auditing our current "Excel-centric" workflows to identify inefficiencies and architecting data-driven solutions. You will bridge the gap between complex power generation manufacturing and modern project management methodology, leveraging Power BI and AI tools to transform raw data into actionable executive insights for people and materials planning.
STRATEGIC RESPONSIBILITIES
- Resource Planning: Review existing MS Excel plans and develop an all-encompassing resource and material view to ensure each project is properly staffed with acceptable levels of utilization
- Operational Audit: Analyze existing project management and manufacturing workflows currently managed in MS Excel. Identify "single points of failure," data silos, and opportunities for automation.
- Systems Architecture: Lead the transition from manual spreadsheet tracking to integrated project controls. Develop logically linked master schedules that account for manufacturing lead times and on-site commissioning variables.
- Advanced Data Visualization: Design and implement Power BI dashboards to provide real-time visibility into project health, cost control, and resource needs and utilization across the portfolio.
- Critical Path & Risk Modeling: Perform advanced critical path analysis and "what-if" scenarios for high-stakes power generation and automation projects.
- Cross-Functional Advisory: Serve as the lead technical advisor to Project Managers and Engineers, resolving complex scheduling bottlenecks and resource conflicts.
- Automation & AI Integration: Explore and implement AI-driven tools to enhance forecasting accuracy and automate repetitive data entry tasks within the project lifecycle.
- Commissioning Oversight: Integrate site-specific commissioning phases into the master manufacturing schedule to ensure seamless handoffs and contract compliance.
KNOWLEDGE, SKILLS & EDUCATION
- Education: Bachelor’s Degree in Engineering, Construction Management, or Business Analytics.
- Experience: 7+ years of experience in forecasting, project planning/scheduling within Manufacturing, Power Generation, or Industrial Automation.
- Excel Mastery: Expert-level MS Excel skills (VBA, Power Query, Macros, complex modeling) are required, as you will be "deconstructing" the current business logic built into spreadsheets.
- Modern Stack: Proficiency in Power BI is highly desirable. Experience with AI-assisted project management tools is a significant plus.
- Technical Tools: MS Project or Primavera P6 is a plus but not required.
- Analytical Mindset: Proven ability to translate technical manufacturing constraints into clear, high-level business reports for stakeholders.
About Steady
Steady is an on-demand labor marketplace connecting businesses with skilled installers and project labor across multiple U.S. markets. Our platform helps companies access reliable labor quickly while giving workers flexible opportunities to earn.
Today, more than 40,000 workers have signed up on the Steady platform, and hundreds of companies rely on Steady to complete installation and project work across multiple major markets. Our marketplace powers thousands of project shifts each year across industries such as office furniture installation, commercial relocation, pallet racking, warehouse equipment, and millwork.
Businesses that rely on field labor face a persistent challenge: finding qualified workers quickly, at scale, and with consistent quality. Traditional staffing models are often slow, expensive, and inflexible. Steady solves this problem through a marketplace platform that combines technology, operational discipline, and a growing network of skilled workers.
As the network continues to grow, our focus is on strengthening supply reliability, improving marketplace economics, and expanding into new cities where demand for flexible skilled labor continues to grow.
Our long-term goal is to build the infrastructure layer that enables businesses to access skilled labor on demand while giving workers greater flexibility and access to opportunity.
Role Summary
The Head of Strategy and Business Operations owns the performance and scalability of the supply side of the Steady marketplace. This includes worker acquisition, onboarding, activation, quality, utilization, retention, and supply-demand balancing across all active markets. Supply is the engine of the marketplace, and this role ensures that engine runs with reliability, efficiency, and improving economics.
In addition to supply ownership, this role serves as a senior operational leader across the company, helping shape strategy, improve operating discipline, identify new revenue opportunities, and drive cross-functional execution.
This is a highly hands-on role. You will not rely on others to surface insights. You must be comfortable pulling your own data, building analyses, identifying trends, and implementing automation that improves operational performance.
Beyond operational excellence, this role will identify and test new ways to monetize the marketplace, improve unit economics, and unlock additional revenue streams tied to our worker network and client relationships.
Success in the first year will include improving worker activation and utilization, strengthening supply reliability across markets, and launching monetization initiatives that improve marketplace economics.
This role works directly with the CEO and leadership team to shape marketplace strategy and operational execution as the company expands across markets.
What You Will Own
Supply Strategy
• Design marketplace supply strategy across all markets
• Determine optimal worker density by market
• Define worker mix across skill tiers and certifications
• Build activation and retention playbooks
• Improve supply predictability and reliability
Worker Acquisition and Activation
• Optimize recruitment channels and cost per acquisition
• Improve onboarding speed and quality
• Increase activation rates of registered workers
• Reduce time from signup to first job
• Build structured worker quality scoring
Supply Performance and Quality
• Own worker utilization and repeat booking rates
• Improve job success rates and reduce field issues
• Develop foreman and lead-level pipeline
• Create performance tiers tied to incentives
Marketplace Balancing
• Ensure supply-demand equilibrium across markets
• Forecast labor needs based on sales pipeline
• Reduce job fill volatility
• Support pricing discipline through supply control
Marketplace Monetization and Revenue Expansion
• Identify new revenue streams tied to worker base and client demand
• Develop and test monetization initiatives with clear ROI frameworks
• Improve pricing structure where supply leverage exists
• Explore partnerships that enhance supply-side economics
• Build pilots quickly and scale what works
• Ensure new initiatives improve margin and enterprise value
Data, Analytics, and Automation
• Pull and analyze data directly from core systems
• Build and maintain dashboards tracking supply KPIs
• Improve data integrity across CRM and operational systems
• Implement workflow automation using tools such as Zapier or similar platforms
• Create reporting rhythms that drive accountability
• Translate data into operational decisions quickly
Cross Functional Leadership
Sales
• Align recruiting plans with projected demand
• Provide visibility into capacity constraints
• Support monetization initiatives tied to strategic accounts
Account Management
• Improve service reliability for top accounts
• Reduce escalations tied to labor quality
• Identify upsell opportunities tied to supply performance
Finance
• Forecast labor costs and supply scaling needs
• Model working capital requirements tied to supply growth
• Improve contribution margin by market
• Evaluate ROI of new revenue initiatives
KPIs and Success Metrics
Supply Metrics
Quality Metrics
Financial Metrics
Why This Role Matters
Steady is building a marketplace that depends on reliable, scalable supply. Revenue growth without supply discipline leads to inconsistent service, margin pressure, and operational instability.
This role owns the systems, strategy, and operational execution that ensure the marketplace scales with reliability and improving economics. The Sr. Manager, Marketplace Operations will play a central role in shaping how Steady grows across markets, how we strengthen the worker network, and how we unlock additional revenue opportunities from the platform. Success in this role directly impacts the company's growth trajectory, unit economics, and long-term enterprise value.
Experience and Skills
• 3+ years in operations, marketplace management, analytics, consulting, or high-growth startup
environments
• Experience working in two-sided marketplaces, labor marketplaces, logistics platforms, or
operationally complex service businesses strongly preferred
• Strong analytical and financial modeling capability
• Experience working directly with data and reporting tools
• Comfortable pulling data through SQL, BI tools, or similar systems
• Experience building dashboards and KPI reporting frameworks
• Experience implementing automation using tools such as Zapier or similar workflow platforms
• Experience identifying and launching new revenue initiatives
• Experience managing multi-market or distributed operations
• Strong cross-functional leadership skills
• You have personally built operational dashboards, analyses, or systems that materially improved
performance in a marketplace or operational environment
Traits That Matter
• Builder mindset
• Structured thinker who creates clarity from complexity
• Data-driven and commercially minded
• High ownership and accountability
• Comfortable operating without a large support team
• Willing to make difficult tradeoff decisions
Thank you for your interest in employment with Nevada System of Higher Education (NSHE), System Administration and System Computing Services. We want your application process to go smoothly and quickly. We ask that you keep in mind the following when completing your application:
Draft applications are saved automatically and can be accessed through your candidate home account.
Final applications must be submitted prior to the close of the recruitment. Once a recruitment has closed, applications will no longer be accepted.
If you need assistance or have questions regarding the application process, please contact our Human Resources department at (775) 784-4901.
Job Description
The Nevada System of Higher Education (NSHE) invites applications and nominations for the position of Vice Chancellor for Academic and Student Affairs. This is a renewable, full-time, non-tenured, administrative position and reports to the Chancellor. The position may be primarily located in either Reno or Las Vegas, Nevada.
The NSHE is comprised of eight institutions: two universities, a state college, four community colleges and a research institute. The public system of higher education in Nevada continues to experience growth with significant challenges and opportunities in serving over 105,000 students and 15,000 employees.
The Vice Chancellor for Academic and Student Affairs serves as the chief academic and student affairs executive for NSHE, responsible for setting strategic direction, driving systemwide policy, and ensuring accountable implementation of initiatives that advance academic quality, student success, and research competitiveness.
As a key member of the Chancellor's Cabinet, the Vice Chancellor exercises enterprise-level leadership and decision-making authority, advising the Chancellor and Board of Regents on high-impact academic, student, and research policy issues. The role is accountable not only for policy development, but for translating strategy into execution across all NSHE institutions, ensuring consistency, compliance, and measurable outcomes.
This position leads the design and implementation of systemwide initiatives spanning academic programs, transfer and articulation, student services, financial aid, and research administration. The Vice Chancellor actively identifies emerging risks and opportunities, develops actionable solutions, and drives coordinated responses across multiple institutions and stakeholders.
The Vice Chancellor also ensures NSHE remains responsive to national trends and evolving higher education demands by integrating data-driven insights into strategic planning and policy decisions.
With direct oversight of Student Affairs, Sponsored Programs and EPSCoR, and Institutional Research, the Vice Chancellor holds full accountability for performance, outcomes, and alignment within these areas-ensuring effective operations, cross-functional integration, and continuous system improvement.
SALARY GRADE: *This position offers a competitive compensation package commensurate with the candidate's education, experience, and certification/training. In addition to base salary, employees enjoy a comprehensive benefits package that includes:
Comprehensive Health Insurance: includes health, dental, vision, and life insurance. Additionally, an employer paid long term disability plan is included.
Outstanding Retirement Plan: professional employees are required to participate in the 401(a) Retirement Plan Alternative (RPA). Employee contributions of 19.25% are matched 100% by the employer and employees experience an immediate vesting in the plan. Employees who currently or previously participated in Public Employees Retirement System (PERS) of Nevada may be eligible to continue in the PERS plan.
Paid Leave: generous annual leave (accrual of 2 days per month), sick leave (granted 30 days at time of hire), 12 paid holidays, and paid family leave.
Education Benefit: employees and their qualified dependents may take advantage of a tuition savings benefit. Faculty may take up to six credits per semester at a reduced rate and their dependents may access an unlimited number of credits, if they meet specific criteria.
Additional Perks: Employee assistance programs and professional development opportunities.
*Pursuant NSHE Policy: "Initial placement must fall between the minimum salary and Q2/median/mid-range on the applicable salary schedule." To view the salary range for this position, please visit: Salary Schedules and select NSHE Executive, Grade 2.
APPROXIMATE STARTING DATE: May 1, 2026
MINIMUM QUALIFICATIONS: Requires a Master's or Professional Degree and 7 years of comparable managerial experience or a Doctorate and 5 years of comparable managerial experience.
KNOWLEDGE, SKILLS, AND ABILITIES: Successful candidates must possess the following knowledge, skills and abilities. It is recommended that applicants for this position address each of the following items in the letter of application:
Knowledge of higher education policy, governance, and administration, including the operations of both community colleges and four-year institutions.
Knowledge of academic program development, review, and approval processes within a multi-institution higher education system.
Knowledge of student affairs policies and practices, including financial aid, residency determinations, and student success initiatives.
Knowledge of research administration, sponsored programs, and federal and state research funding structures, including programs such as EPSCoR.
Knowledge of institutional research, higher education data systems, and the use of data analytics to support policy development, accountability, and strategic planning.
Knowledge of the role and responsibilities of a policy-making governing board and the staff functions required to support an elected governing board.
Knowledge of the Nevada System of Higher Education (NSHE), including the structure, authority, and policies of the Board of Regents.
Knowledge of Nevada state government, including the legislative process and state laws and regulations pertaining to higher education.
Knowledge and experience in drafting policies, procedures, and guidelines within a complex organizational or governmental environment.
Knowledge of statewide and national trends affecting higher education, including workforce development, access and attainment, and research competitiveness.
Skill in providing executive leadership and strategic direction within a complex, multi-institution organization.
Skill in supervising professional staff and directing multiple functional areas to ensure alignment with organizational priorities and accountability for outcomes.
Skill in policy analysis and development, including evaluating complex issues and formulating effective systemwide policy recommendations.
Skill in analyzing complex data, research findings, and policy information to inform strategic decision-making.
Skill in synthesizing and communicating complex information, research findings, and policy implications to diverse audiences, including governing boards, policymakers, and the public.
Skill in building consensus among diverse stakeholders with differing institutional perspectives and priorities.
Skill in setting priorities and managing multiple high-level initiatives simultaneously while meeting critical deadlines.
Skill in preparing and delivering presentations and policy briefings to executive leadership, legislative committees, and governing boards.
Skill in fostering collaboration among institutions, state agencies, and external partners.
Skill in identifying emerging policy, operational, or strategic issues and developing effective solutions to address complex challenges in a multi-institution higher education environment.
Ability to exercise sound independent judgment and discretion in addressing complex policy and administrative issues.
Ability to provide leadership and strategic oversight for multiple programs and functional areas.
Ability to communicate effectively in both written and oral forms with executive leadership, policymakers, institutional leaders, and the public.
Ability to present complex policy and technical information clearly and effectively in public settings.
Ability to analyze large volumes of complex information and identify key issues, trends, and implications for decision-making.
Ability to translate complex research, policy, and data analysis into actionable recommendations.
Ability to build and maintain collaborative working relationships with institutional leaders, faculty, staff, state officials, and external stakeholders.
Ability to facilitate discussion and build consensus among diverse constituencies across the higher education system.
Ability to manage competing priorities and operate effectively in high-visibility and high-stakes environments.
Ability to ensure accuracy, integrity, and appropriate use of institutional data and information used for policy and decision-making.
Ability to anticipate emerging issues, analyze potential impacts, and develop proactive strategies to resolve problems and advance systemwide priorities.
RESPONSIBILITIES: The duties of this position will include, but not be limited to:
Provide executive and strategic leadership, supervision, and administrative oversight of key functional areas within the NSHE System Office, including Student Affairs, Sponsored Programs and EPSCoR, and Institutional Research. This responsibility includes setting and advancing systemwide strategic priorities; supervising and mentoring department leadership and staff; ensuring operational effectiveness, accountability, and compliance with Board policies; and proactively identifying and addressing systemwide challenges, risks, gaps, and opportunities. Coordinate and lead cross-functional and cross-institutional initiatives, exercising sound judgment and decision-making authority to align efforts with system goals and priorities. Foster a culture of collaboration, innovation, and continuous improvement across NSHE institutions, while effectively communicating, influencing, and advising executive leadership and stakeholders. Promote and model data-informed and evidence-based decision-making to advance student success, research growth, and institutional effectiveness, and lead the development and implementation of strategic solutions to complex systemwide issues.
Serve as a strategic advisor and executive liaison to the Academic, Research and Student Affairs (ARSA) Committee and other Board of Regents committees. Lead the development of meeting agendas in collaboration with the committee chair, ensuring alignment with system priorities and emerging issues. Coordinate institutional presentations and compile high-quality, analytically grounded briefing materials that clearly communicate key issues, risks, and opportunities. Proactively anticipate Board needs, respond to Regent inquiries with clarity and authority, and provide thoughtful recommendations to inform decision-making and policy direction at the system level.
Chair the Academic Affairs Council (AAC), providing strategic leadership and direction for systemwide academic planning and policy development. Oversee the academic program and organizational unit approval process, ensuring alignment with long-term system goals, workforce needs, and institutional missions. Lead and facilitate collaborative, solution-oriented discussions among institutional representatives to identify challenges, gaps, and opportunities, and to build consensus on complex issues such as funding models, academic innovation, and program alignment. Provide policy analysis, strategic insight, and actionable recommendations, and guide the implementation of agreed-upon changes to strengthen academic quality and effectiveness across the system.
Chair the Student Affairs Council, providing executive leadership and strategic direction for systemwide student affairs policies and initiatives. Lead the development, evaluation, and refinement of policies related to student services, including residency determinations and financial aid coordination. Identify systemic barriers and opportunities impacting student access, success, and equity, and work collaboratively with institutional leaders to develop and implement innovative, student-centered solutions. Ensure clear communication, stakeholder engagement, and alignment of policies with broader system goals and priorities.
Chair the Research Affairs Council, leading strategic planning and policy development to advance research across NSHE. Establish and communicate systemwide research priorities, goals, and performance expectations, and identify opportunities to enhance research productivity, collaboration, and external funding. Facilitate cross-institutional partnerships, address barriers to research growth, and provide data-informed recommendations to strengthen competitiveness. Guide the implementation of initiatives, including those associated with EPSCoR, ensuring alignment with state and national research priorities.
Provide executive oversight and strategic leadership for the NSHE Sponsored Programs and EPSCoR Office. Direct systemwide efforts to enhance research development, grant competitiveness, and external partnership engagement with state and federal agencies. Identify gaps and opportunities in research infrastructure and support services, and lead collaborative strategies to strengthen capacity and outcomes. Ensure alignment of sponsored program activities with system priorities and effectively advocate for resources and initiatives that advance NSHE's research mission.
Ensure executive-level oversight and quality assurance of data reporting and analytics across the Academic and Student Affairs division. Lead efforts to leverage data as a strategic asset, ensuring accuracy, consistency, and clarity in dashboards, reports, and analyses. Translate complex data into actionable insights and recommendations that inform executive leadership, institutional strategy, and Board decision-making. Proactively identify trends, gaps, and emerging issues, and guide the development of data-informed strategies to improve system performance, accountability, and outcomes.
Provide strategic leadership and systemwide coordination related to the State's higher education attainment goals. Support and influence policy development aligned with statewide objectives, and monitor, assess, and communicate progress toward established targets. Identify disparities, gaps, and opportunities for improvement, and lead the development and implementation of collaborative, system-level strategies to increase educational attainment. Engage stakeholders across institutions and external partners to align efforts and drive measurable impact.
Provide executive oversight and strategic guidance for NSHE's participation in SARA and membership in NC-SARA. Ensure compliance with applicable standards while identifying opportunities to enhance interstate educational access and program delivery. Serve as a key decision-maker and advisor on matters related to state authorization, distance education, and regulatory alignment. Communicate effectively with institutional leaders and external stakeholders and lead continuous improvement efforts to strengthen NSHE's position in the national higher education landscape.
TO APPLY: The application process will be handled through the Workday on-line search process. Application materials must include a current resume, detailed cover letter, and names, addresses and telephone numbers of four professional references willing to be contacted. Applicants should fully describe qualifications and experience, since the initial review will serve to evaluate applicants based on documented, relevant qualifications and professional work experience. Applications will be considered incomplete without all requested materials. References will only be contacted for those who advance to the final phase of the search and with prior consent of the applicant. The review of materials will begin immediately. Materials should be addressed to Sherry Olson, Human Resources, and are to be submitted via on-line application at . For assistance with NSHE's on-line applicant portal, contact Sherry Olson at (775) 784-4901.
INTERNAL APPLICANTS: Current employees within the Nevada System of Higher Education MUST use the "Find Jobs" process within Workday to find and apply for jobs at NSHE institutions. Once you log into Workday and type "Find Jobs" in the search box which will navigate to the internal job posting site. Locate the specific job posting by typing the requisition number (e.g. R0000000) in the search box
APPLICATION DEADLINE: Applications may be submitted until the position is filled. The review of materials will begin immediately, however, for full consideration applications should be submitted by April 1, 2026.
For more information about the Nevada System of Higher Education, please visit our website at The Nevada System of Higher Education hires only United States citizens and aliens lawfully authorized to work in the U.S.
NSHE is an equal opportunity and affirmative action employer committed to achieving excellence through diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, creed, national origin, veteran status, physical or mental disability, sexual orientation, family medical history or genetic information, gender identity, gender expression, or any other factor protected by anti-discrimination laws. Women, applicants who are members of underrepresented groups and communities of color, individuals with disabilities, and veterans are encouraged to apply.
Exempt
Yes
Full-Time Equivalent
100.0%
Required Attachment(s)
Required Attachment(s): Application materials must include a current resume, detailed cover letter, and names, addresses, and telephone numbers of four professional references willing to be contacted.
Posting Close Date
Note to Applicant
A background check will be conducted on the candidate(s) selected for hire.
References will be contacted at the appropriate phase of the recruitment process.
As part of the hiring process, applicants for positions in the Nevada System of Higher Education may be required to demonstrate the ability to perform job-related tasks.
All document(s) must be received on or before the closing date of the job announcements. Schedules are subject to change based on organizational needs.
HR will attempt to verify academic credentials upon receipt of hiring documents.
To apply, visit ©2025 Inc. All rights reserved.
Posted by the FREE value-added recruitment advertising agency
jeid-086f987cb6ae5e4ca581a85103ab25bd JobiqoTJN. Keywords: Assistant Chancellor, Location: Las Vegas, NV - 89102
Build a Career That Matters with One of the World's Most Respected Employers!
- - - - - - - - - - - -
Mission:The Business Unit Leader on the Manufacturing Operations team creates conditions for team success, delivering sustainable value for People, Profit & Planet. As a Group values representative, they develop areas of excellence for current and future performance using CARE and TECH.
Key Mission Achievements:Leading the team, the Business Unit Leader drives success by promoting sustainable value for people, profit, and the planet through the roles outlined below:
Operations team member: the Business Unit Leader strives to boost the Shop's performance ahead of their own Business Unit. To accomplish this, they actively participate in:
- Sharing guidelines between Business Units and helping to contribute to the Plant performance in a collaborative manner. We maintain an outlook of "ONE MANUFACTURING TEAM" in all situations.
- Identifying and nurturing individuals with potential to advance their careers within the Shop. These individuals are cultivated within their Business Unit and then transitioned to other roles to meet business demands.
- Backing Shop choices even amidst uncertainty and adverse conditions that might affect their own Business Unit.
- Boosting the Business Unit's efficiency by regularly coaching and offering feedback to support team members.
- Offering feedback on the performance of support team members and suggesting ways for improvement.
The Business Unit Leader is dedicated to nurturing individuals, viewing the plant as a hub for recruitment, training, and facilitating the professional development of all team members.
- Embrace a continuous learning approach within the teams, by assessing competencies and pinpointing development chances to address any gaps.
- Ensure the development of people through the avenue of Spoke training by support teams or through social promotion projects.
- Apply career paths accessible for all their employees.
- Construct and have faith in the importance of diverse teams.
- Support competency development through mentoring & coaching.
Role model of our core beliefs, mission & approach: the Business Unit Leader serves as the face of the Plant for the employees. They exemplify the group's principles by:
- Consistently living out the values and acting as an example to inspire their employees by their behaviors.
- Motivating their teams by bringing to bear the Michelin purpose & Dream.
- Ensuring that all team members grasp the Plant strategy and recognize their contribution to the overall success of the vision.
- Aligning the shop-level vision and mobilizing the teams to bring that vision to life on-site.
- Reflect the values of the Company by promptly resolving employee concerns. Guarantee the accurate and punctual completion of time and attendance records for employees, and address any attendance issues promptly.
- Establishing Safety as a core principle in the Business Unit, where each individual upholds responsibility for their safety and the safety of those around them.
Customer & business partner: the Business Unit Leader grasps the customers' demands and the business implications and leads the teams towards customer-centricity. The Business Unit Leader is required to:
- Acquire knowledge about the Customer/partners and their needs and the contribution their Business Unit makes to fulfill their expectations.
- Lead their Business Unit, with a focus on every aspect of generating economic value.
- Support the business through a cooperation with local teams for: industrializations, modifications, digitalization, Industry transformations, etc.
Sustainability champion: the Business Unit Leader is recognized as a dedicated champion and influencer for continuous improvements in the environmental impact of their Business Unit by:
- Promoting a culture that is aware and values sustainability and environment.
- Complying/Implementing the strategy for environmental impact and biodiversity.
Model for ICARE & Empowerment: The Business Unit Leader actively leads with ICARE principles, guiding and motivating the team accordingly.
- Motivate and convey their enthusiasm for ICARE to all staff members across all levels, by actively implementing the model within their Business Unit.
- Foster an environment of inclusion, safety, collaboration, and collective intelligence within their team.
- Engage shop Support Teams to empower and involve them in plant's future transformation.
Operational Excellence Leader: the Business Unit Leader is dedicated to cultivating operational superiority by guaranteeing that:
- Operations are guided by the application of MMW(MDP+OR/MAPP), as the teams recognize the significance of these high-quality methods. Fundamentals are maintained consistently to establish the groundwork for attaining industrial efficiency.
- The pursuit of ongoing advancement within the Business Unit, seeking to minimize variations and eliminate non-value-added tasks, is robust.
- Achieve Business Unit SMQDC expected performance levels and respect of standards to satisfy customer demand.
- The team and its members are empowered and visibly committed. Autonomy increases through the evolution of polyvalence, competencies, and responsibility.
- Uses sound problem-solving methodology to eliminate root causes of problems as they arise.
Digital and Innovation contributor: Adopt innovation, engineering, and technology ensuring the transformation is recognized as an opportunity for excellence by:
- Seeking opportunity to apply and encourage team to work with and use digital application where appropriate. Apply "use cases" to help team move forward to data-driven approach.
- Helping to build the foundations necessary for the transformation (data quality, competencies, organization, plant roadmap, collaboration with Site Digital Department).
- Supporting and triggering projects and initiatives that will develop capabilities aligned with the Michelin strategy. Highlight the importance to copy/paste digital good practices.
- A BS degree in Chemical Engineering or equivalent experience in the Chemical Industry is required. MBA, Masters of Engineering are preferred.
- Having prior experience in managing within a unionized setting is advantageous.
- At least 3-5 years of successful people management (industrial setting preferred).
- Established history of managing employee performance effectively (incorporating attendance, productivity, skill growth, and talent supervision).
- A track record of effective industrial oversight (ensuring safety, optimizing production, maintaining quality, managing costs and budgets, etc).
- Proficiency in managing Industrial Site Utilities is beneficial (covering steam, wastewater, air, nitrogen, cooling water).
- Experience in Process Safety Management is advantageous.
#LI-EO2
Ready to Shape the Future of Innovation?
Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.
The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.
Why Michelin?
Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.
Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.
Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.
Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.
Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .
This position is not available for immigration sponsorship.
We build the future with people like you. Begin your career with Michelin today!
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keeping up with industry trends in recommendation systems
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Degree in computer science, machine learning, statistics, or related field
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-SA1
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$138,905—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, statistics, or related field; or equivalent experience
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- M.S. or PhD in Machine Learning or related areas
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$189,721—$332,012 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 4,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.
Within the Monetization ML Engineering team, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack within Ads.
What you'll do:
- Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
- Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
- Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
- Work in a high-impact environment with quick experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs to enhance content understanding
What we're looking for:
- 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
- Degree in computer science, machine learning, statistics, or related field
- End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
- Practical knowledge of large scale recommender systems, or modern ads ranking, retrieval, targeting, marketplace systems
- Nice to have:
- Publications at top ML conferences
- Expertise in scalable realtime systems that process stream data
- Passion for applied ML and the Pinterest product
- Background in computational advertising
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-HYBRID
#LI-SM4
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,418—$285,982 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
About the Role
The Meta Strategist will own the end-to-end strategy, execution, and optimization of GLD’s paid social advertising across Meta platforms (Facebook & Instagram). While you’ll own Meta as your primary channel, you’ll work collaboratively with other Performance Marketing team members on cross channel strategy, reporting, and planning contributing to a larger growth strategy rather than operating in a silo.
You will partner closely with Creative, Retention, E-commerce, and Analytics teams to develop thumb-stopping ad campaigns across TOF (top-of-funnel) and BOF (bottom-of-funnel) objectives, optimize audience strategies within Meta’s Andromeda ML framework, and build reporting systems that keep leadership informed and the team accountable. Success in this role is measured not only by performance metrics, but also by creative partnership, strategic thinking, and your ability to elevate the broader team.
Key Responsibilities:
1. Meta Campaign Management & Andromeda Optimization
- Develop, launch, and manage full funnel Meta ad campaigns across TOF prospecting, BOF retargeting, and retention objectives.
- Own daily optimizations at both granular (ad, ad set) and high-level (campaign, account) viewpoints to maximize performance.
- Leverage deep understanding of Meta’s Andromeda ranking system to optimize ad delivery, auction competitiveness, and signal quality.
- Structure campaigns and ad sets to work with Andromeda’s ML-driven optimization, including strategic use of Advantage+ campaigns, broad targeting, and signal enrichment.
- Continuously test and refine bidding strategies, audience segmentation, and conversion events to maximize ROAS and reduce CPA.
- Stay current on Meta platform changes, algorithm updates, and beta features; proactively adapt strategies accordingly.
2. Creative Strategy & Content Analysis
- Collaborate with the Creative team and recommend new concepts, formats, and messaging angles based on performance insights.
- Build and write creative briefs independently, translating performance data and strategic priorities into clear direction for designers and content creators.
- Analyze creative performance data to identify winning concepts, hooks, formats, and messaging themes across TOF and BOF.
- Build and maintain a creative testing framework with clear hypotheses, naming conventions, and documentation.
- Monitor creative fatigue and proactively plan refresh cycles to sustain performance.
3. Data Analytics & DOMO Reporting
- Build and maintain DOMO dashboards to track Meta performance across KPIs including ROAS, CPA, CTR, hook rate, hold rate, and thumbstop ratio.
- Conduct deep-dive analyses on campaign, ad set, ad, and creative-level performance to surface insights and inform budget allocation.
- Create automated reporting workflows within DOMO that integrate Meta Ads data with Shopify revenue and attribution data.
- Present weekly and monthly performance reports to leadership with clear narratives, trend analysis, and recommended actions.
- QA data pipelines and ensure accuracy of metrics across platforms and reporting tools.
4. Cross Functional Partnerships
- Act as the primary liaison between Performance Marketing and Creative, Retention, E-commerce, and Ops teams.
- Coordinate with Retention/CRM on audience list management, suppression strategies, and lifecycle alignment.
- Collaborate with E-commerce to align ad messaging with site promotions, product launches, and seasonal campaigns.
- Share learnings and best practices across paid media channels (TikTok, Google, Snapchat) to maintain a unified growth strategy.
Qualifications
- 3–5+ years of hands-on experience managing Meta Ads at scale ($500K+/month in spend).
- Strong working knowledge of Meta’s Andromeda ad ranking system and how it impacts delivery, auction dynamics, and performance optimization.
- Demonstrated ability to analyze and optimize ad creative performance across TOF and BOF, with a portfolio of data-driven creative decisions.
- Proven ability to write and build creative briefs independently, translating data into actionable creative direction.
- Proficiency in DOMO for building dashboards, creating data flows, and generating automated reports.
- Advanced analytical skills with comfort working across large data sets to extract meaningful insights.
- Experience with Shopify and ecommerce attribution models.
- Strong understanding of full funnel paid media strategy in a DTC environment.
- Experience with tools like Triple Whale, Northbeam, or similar attribution platforms preferred.
- Knowledge of complementary paid channels (TikTok Ads, Google Ads, Snapchat Ads) a plus.
- Comfortable in a fast paced, high growth DTC environment where priorities shift quickly.
- Willingness and ability to travel to Miami HQ on a quarterly or monthly basis as needed.
Traits That Lead to Success
- Highly analytical, structured thinker who turns data into action
- Strong follow through and accountability; owns outcomes, not just tasks
- Clear communicator who drives alignment across teams
- Bias for action; solves problems before they become blockers
- Comfortable owning budgets and pushing teams for deliverables
- Creative eye with the ability to spot winning content before the data confirms it
- Collaborative mindset sees yourself as part of a team, not just a channel owner
- Energized by scaling profitable growth and outpacing the competition
- Love of fashion and style, and strong understanding of the GLD customer
Why GLD
GLD is one of the fastest growing jewelry brands in the world, defining culture at the intersection of sports, fashion, and entertainment. As an official NFL partner and a brand worn by some of the biggest names in music and athletics, we’re building something special.
This role is perfect for someone ready to own a major growth channel and help scale our customer acquisition engine. We are a high performing team, and the business is growing rapidly so the opportunity to grow is available for the right dedicated team member.
The Director of Workforce Planning reports directly to the CPO and is responsible for leading strategic workforce planning initiatives that align hiring strategies with organizational growth objectives. This role partners closely with executive leadership, talent acquisition, HR business partners, finance, procurement, and operations to forecast workforce needs, develop hiring capacity models, optimize recruiting resource allocation, and ensure proactive talent readiness for both permanent and contingent workforce demands.
Essential Functions:
- Lead enterprise workforce planning cycles, including quarterly and annual workforce forecasting.
- Partner closely with operations, talent acquisition, and finance to translate contractual and client demands into clear staffing, budget, and operational decisions.
- Forecast short- and long-term talent needs based on business growth and contract awards.
- Identify critical skill gaps and partner with HR to create mitigation plans, including reskilling, upskilling, and succession planning.
- Utilize workforce analytics, labor market trends, and predictive modeling to inform staffing strategies.
- Provide actionable insights and dashboards to senior leadership for decision-making.
- Monitor and report on workforce metrics, including headcount, attrition, and capacity planning.
- Ensure workforce planning practices comply with federal regulations, security clearance requirements, and defense industry standards.
- Partner closely with business leaders and talent acquisition to develop contingency plans for workforce disruptions and critical skill shortages.
- Drive adoption of workforce planning tools and systems to enhance forecasting accuracy and efficiency.
- Continuously improve processes to support agile workforce planning in a dynamic defense environment.
- Evolve WFM tools, processes, and planning cadences, driving improvements in forecast accuracy, model quality, and reporting standards
- Build strong cross-functional relationships and act as a trusted partner who brings clarity, insight, and strategic thinking to complex operational problems
- Develop hiring demand forecasts, scenario modeling, and capacity planning frameworks.
- Identify gaps in internal recruiting capacity and recommend solutions including contracting or external agency utilization.
- Lead strategy in selection and governance of external staffing agencies and contract recruiting partners as needed.
- Evaluate agency performance metrics and ensure compliance with contracting requirements.
- Establish preferred vendor frameworks and agency engagement models.
- Support system enhancements and reporting improvements within ATS, HRIS platforms, and other systems as they relate to workforce planning.
- Perform other duties as required.
- Regular and reliable attendance on a full time basis [or in accordance with posted schedule].
- Responsible for exhibiting professional behavior with both internal and external business associates that reflects positively on the company and is consistent with the company's policies and practices.
- Embodies AEVEX’s cultural values and aligns daily actions with department goals and company culture.
Qualifications and Competencies:
- Security Clearance- Ability to obtain/maintain a Secret DoD clearance, U.S. Citizenship required.
- Strong analytical and data visualization skills (Excel, Power BI, Tableau, or similar tools).
- Strong communication skills with ability to present insights to senior leadership.
- Knowledge of ATS platforms (experience with Greenhouse highly preferred).
- Advanced analytics or modeling experience.
- Proven ability to design workforce capacity models and agency utilization strategies
- Advanced proficiency in Excel, workforce analytics tools, and ATS/HRIS reporting systems
- Demonstrated ability to influence senior stakeholders through data-driven insights
- Directs and provides expert knowledge in the strategic function of the department.
- Develops short and long-term people and organizational strategy in alignment with AEVEX goals and direction.
- Leads with impact & influence. Establishes credibility, effectively persuades and develops others, and achieves important objectives collaboratively.
- Identifies, recruits, and retains top-notch talent.
- Champions AEVEX’s culture and empowers employees to take responsibility for their jobs and goals.
- Sets performance standards and encourages employee engagement and results through delegation, continuous feedback, goal setting, and performance management.
- Maintains transparent communication. Appropriately communicates organization information through department meetings, one-on-one meetings, and appropriate email, and regular interpersonal communication.
Education / Certifications:
- Bachelor’s degree in Human Resources, Business, Finance, Analytics, or related field.
Experience:
- 10+ years of experience in Talent Acquisition, Workforce Planning, Recruiting Operations, or HR Analytics.
- Experience building capacity models and hiring forecasts.
- Experience working cross-functionally with HR/TA, Finance, operations, and business leaders.
- Experience in high-growth or large-scale hiring environments.
- Experience in workforce management software or capacity planning tools.
- Demonstrated experience negotiating staffing agency agreements and vendor contracts
- Strong experience partnering with external recruiting agencies and contingent workforce vendors
- Experience supporting both permanent and contingent workforce planning at scale preferred
- Experience working closely with Procurement and Legal on vendor governance preferred
Physical Requirements:
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties the employee is: Physical Requirements Constantly required to sit, and to reach to use computers and other office equipment Note: For the purpose of this summary, occasionally is used to represent up to 1/3 of the time given to the work day, frequently represents 1/3 to 2/3 of the time and constantly represents 2/3 or more of the time.
About AEVEX
AEVEX, headquartered in Solana Beach, California, supports the U.S. national security mission and partner nation needs around the world by providing full-spectrum aviation, remote sensing, and analysis solutions. The company's capabilities include custom design and engineering; rapid prototyping; sensor integration and sustainment; aircraft modification and certification; flight test instrumentation and support; mission operations service; advanced intelligence data processing, exploitation, and dissemination solutions; and tailored hardware and software mission-system tools. AEVEX uses agile and customized approaches to rapidly define, develop, and deliver specialized solutions for airborne special mission needs for the U.S. Government, partner nations, and commercial businesses. AEVEX has major offices in California, Florida, North Carolina, Ohio, and Virginia.
AEVEX provides a full suite of comprehensive benefits, including a 401(k)-retirement plan, comprehensive Medical, Dental, Vision, Disability and Life insurance group coverage with a portion of the premiums paid by the company, professional development funds, and an Employee Assistance Plan (EAP) with counseling, legal help, child and elder care support, among other benefits for qualified employees.
Equal Employment Opportunity:
AEVEX is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state and local laws.
