Appian Corporation
Manager, Financial Planning & Analysis
McLean, Virginia · Senior
Sponsorship not specified$100k-$200kDetected 5 days ago
Data VisualizationFinancial ModelingFinancial AnalysisAccountingForecastingBudgetingExcelFP&ARecruitingLeadershipCollaborationProblem SolvingMentoringFinancial ReportingVariance Analysis
Stay score
odds of building a lasting career here
57Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
Level I$77,4381 entry
Level II$100,4432 entries
Level III$123,4273 entries
Level IV$146,4324 entries
$443 more — $100,443 — moves this role to Level II and 2 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $100,443 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Financial and Investment Analysts" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Financial and Investment Analysts (13-2051) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
2 transfer filings in the last year, covering 2 workers. Median labor-condition decision: 32 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
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About the role
- You will work closely with cross-functional leaders to ensure resource allocation aligns with corporate objectives as Appian scales its Enterprise-Grade Orchestration platform.
- This team plays a critical role in shaping investment priorities and ensuring sustainable growth in a dynamic, high-growth SaaS environment.
- Appian is at an inflection point as we accelerate our AI-Powered Process Automation offerings and expand market share in enterprise digital transformation.
Responsibilities
- Execute comprehensive variance analysis and deliver actionable insights to business leaders, identifying cost drivers, performance trends, and opportunities for operational efficiency.
- Partner with department heads to develop headcount planning models, operating expense forecasts, and ROI analyses for innovation initiatives and strategic investments.
- Architect financial models that support scenario planning and strategic decision-making, enabling leadership to evaluate trade-offs and optimize resource allocation.
- Drive financial discipline across operational teams by establishing KPIs, tracking performance metrics, and translating complex financial data into clear business narratives.
- Collaborate with senior finance leadership to refine FP&A methodologies and implement best practices that scale with the organization.
Requirements
- Financial Modeling: Advanced proficiency in Excel for financial modeling, including complex forecasting models, scenario analysis, and data manipulation.
- FP&A Expertise: Deep knowledge of FP&A methodologies including budgeting, forecasting, variance analysis, and financial reporting processes.
- Analytical Capability: Strong analytical and problem-solving skills with the ability to synthesize large datasets into strategic recommendations.
- Hold a Bachelor's degree (or higher) in Finance, Accounting, Economics, Business Administration, or a related field.
- 5+ years of experience in financial planning and analysis, corporate finance, or a related finance function with demonstrated progression in responsibility.
- Advanced proficiency in Excel for financial modeling, including complex forecasting models, scenario analysis, and data manipulation.
- Deep knowledge of FP&A methodologies including budgeting, forecasting, variance analysis, and financial reporting processes.
- Strong analytical and problem-solving skills with the ability to synthesize large datasets into strategic recommendations.
Nice to have
- Advanced Degree: MBA or Master's degree in Finance, Accounting, or a related quantitative discipline.
- SaaS Industry: Prior experience in the SaaS industry or technology sector with exposure to subscription revenue models and unit economics.
- Public Company: Experience working at high-growth publicly listed companies with exposure to SEC reporting and investor relations processes.
- Planning Tools: Proficiency in Anaplan for advanced financial modeling, scenario planning, and enterprise performance management.
- Data Visualization: Experience with Power BI or Tableau to create executive dashboards and communicate financial insights visually.
- We value experience with enterprise platforms as these skills translate well into our Enterprise-Grade Orchestration environment.
- Tools and Resources
- Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training.
Compensation
- $100,000 - $200,000 USD
- Lead the annual budgeting and quarterly forecasting cycles for operational departments, ensuring accuracy, accountability, and alignment with corporate growth targets.
- Own the annual budgeting, forecasting, and variance analysis process for operational departments while translating financial data into actionable strategies that fuel Appian's growth in AI-Powered Process Automation.
Benefits
- Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future.
- Benefits vary by country-please ask your Talent Acquisition contact for details specific to the location you are applying to.
Company info
- Experience working at high-growth publicly listed companies with exposure to SEC reporting and investor relations processes.
- The base salary range represents a good faith and reasonable estimate of the range at the time of posting.
- Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer.
- A discretionary bonus may be awarded in recognition of individual and company performance.
- In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources.
- Certain positions may be eligible for equity awards.
- Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.
- Base Salary Range
- $100,000 - $200,000 USD
- Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires.
Equal opportunity
- equal opportunity employer that strives to attract and retain the best talent.
- If you need a reasonable accommodation for any part of the employment process, please contact us by email at <a href="mailto:ReasonableAccommodations@app
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This listing is sourced directly from Appian Corporation's careers page and normalized into a canonical job model.