Workday Adaptive Planning Engineer - FP&A Forecasting

KMM Technologies, Inc.

Rockville (MD)

Hybrid

USD 120,000 - 170,000

Full time

3 days ago
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Job summary

KMM Technologies, Inc. in Rockville, MD is seeking a Workday Adaptive Planning Engineer to design, build, and maintain budgeting and forecasting solutions.

You will own model design, data integrations with Workday Financials, and ensure data accuracy for planning across the organization. Requires 3+ years hands-on experience with Workday Adaptive Planning, strong analytical skills, and ability to translate finance requirements into technical solutions.

Qualifications

  • Education: Bachelor’s degree in Finance, Accounting, Information Systems, or a related field (or equivalent experience).
  • Experience: 3+ years of hands‑on experience configuring and maintaining Workday Adaptive Planning (model design, sheets, dimensions, formulas, and allocations).
  • Certifications: Workday Adaptive Planning Pro Certification would be preferred but not mandatory
  • Planning Knowledge: Solid understanding of financial planning, budgeting, and forecasting processes.
  • Integrations: Experience integrating Adaptive Planning with Workday Financials or other systems, including loading and reconciling actuals.
  • Data Model: Working knowledge of the Workday Financials data model (ledger accounts, worktags, company/cost center structures) and how it maps into planning models.
  • Reporting: Experience with Office Connect and Adaptive Matrix reporting/dashboarding.
  • Problem‑Solving: Strong analytical and troubleshooting skills, with the ability to trace data issues to root cause across systems.
  • Communication: Ability to translate finance stakeholder requirements into technical solutions and communicate tradeoffs clearly.
  • Cycle Support: Experience supporting planning models through peak cycles (budget season, forecast refreshes, month‑end).

Responsibilities

  • Demonstration of FINRA’s values.
  • Collaboration, both in‑person and virtually, in furtherance of FINRA’s mission of investor protection and market integrity.
  • Design, configure, and maintain Workday Adaptive Planning models, sheets, and dimensions to support budgeting, forecasting, and long‑range planning.
  • Build and maintain the data flow between Workday Financials and Adaptive Planning, ensuring actuals load accurately and on a reliable schedule.
  • Develop and optimize formulas, calculated accounts, allocations, and modeled sheets while keeping models performant and maintainable.
  • Own the accuracy, refresh cadence, and reconciliation of planning data; proactively identify and resolve data discrepancies between source systems and Adaptive.
  • Partner with FP&A to translate planning requirements into model design, presenting options and tradeoffs rather than one‑off fixes.
  • Configure and maintain security, user access, and workflow within Adaptive Planning.
  • Assess and test the impact of Workday and Adaptive semi‑annual releases; maintain a regression testing approach for planning models and integrations.
  • Build dashboards and reports that give finance stakeholders visibility into plan vs. actuals and forecast accuracy.
  • Document model design, data flows, and configuration to support team continuity and knowledge transfer.
  • Provide production support for planning cycles, including month‑end and budget‑season peak periods.

Skills

Workday Adaptive Planning
Data integration
SQL queries
Problem solving
Communication
Forecasting

Education

Bachelor's degree

Tools

Workday Studio
EIB / Core Connectors
Office Connect

Job description

KMM Technologies, Inc. in Rockville, MD is seeking a Workday Adaptive Planning Engineer to design, build, and maintain budgeting and forecasting solutions.

You will own model design, data integrations with Workday Financials, and ensure data accuracy for planning across the organization. Requires 3+ years hands-on experience with Workday Adaptive Planning, strong analytical skills, and ability to translate finance requirements into technical solutions.

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