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Experience atOmnicom Group

Driving financial systems and automation across global teams.

Builder ofEnterprise AI Systems

AI agents, audit workflows, and decision intelligence at scale.

Based inNew York City

Building systems for enterprises around the world.

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All enterprise work

Enterprise implementation case study

Planning model and cube engineering.

Finance planning structures that connect cubes, dimensions, mappings, and user-facing views to real business processes.

IBM Planning AnalyticsTM1Cubes and dimensions
Ask the project copilotGrounded in this public-safe case study.

Business problem

What people needed to solve.

Planning models degrade when the technical structure and finance process drift apart, creating fragile views, unclear ownership, and difficult change cycles.

Decision frame

Questions the work needed to answer.

  • Which dimensions and cubes support the planning process?
  • How does an input move into a usable finance view?
  • What must be validated before a change reaches users?
Illustrative operating flowNo internal data, configuration, or client detail.
Finance driversDimensionsMappings

Operating layer

Planning model + cube engineeringDecision support with review and ownership.
User viewsValidated changeTraceable ownership

Implementation

From the business problem to a working operating model.

Built and maintained planning cubes, dimensions, mappings, and user-ready views around real finance processes.

  1. 01

    Designed planning structures around core finance drivers.

  2. 02

    Maintained dimensions, mappings, and model logic with change discipline.

  3. 03

    Created user-ready views aligned to planning activities.

Controls, approvals, and delivery constraints

The work around the work.

Enterprise systems change only when data, access, testing, ownership, and evidence move together.

  • Model changes require validation before wider use.
  • Technical and finance owners have distinct responsibilities.
  • No cube structure, calculations, or proprietary planning logic is disclosed.

Public-safe outcome

Planning structures that are usable for finance teams and traceable for technical owners.