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Principal Program Manager

Job in Providence, Providence County, Rhode Island, 02940, USA
Listing for: Oracle
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Job Description & How to Apply Below
** Job Description*
* ** Description*
* + Lead the coordination and alignment of cross-functional stakeholders (e.g., finance, engineering, data analytics, and operations) to build and scale an in-depth reporting framework.

+ Define and maintain a roadmap for unified business reporting, with focus areas including customer- and data center-level P&Ls, SKU-level trend tracking, and allocation methodology alignment.

+ Identify and validate sources of truth across business functions; drive consensus on definitions, ownership, and cadence of key business metrics.

+ Establish and manage rhythm of business processes to support real-time visibility into performance drivers.

+ Lead efforts to define success criteria and reporting requirements; oversee the development of dashboards and tools that support performance tracking and decision-making.

+ Standardize business logic, allocation rules, and financial models to ensure consistency and transparency across reporting domains.

+ Provide structure, clarity, and accountability in a highly dynamic environment; lead and influence without direct authority to drive timely execution.

** Responsibilities*
* + Translate stakeholder questions and vague verbal requirements into technical solutions and documented logic.

+ Transform, clean, and model complex datasets using R or Python. Ensure data quality and integrity by independently formatting, restructuring, and validating data as required.

+ Create visually appealing dashboards and visualizations to communicate complex insights to both technical and non-technical stakeholders using packages such as ggplot2, matplotlib, seaborn, plotly, etc.

+ Write efficient SQL queries for data extraction, validation, and transformation.

+ Collaborate cross-functionally with non-technical teams (operations, product, leadership, research, etc.).

+ Communicate analytical findings clearly through email summaries, slide decks, and live presentations.

+ Ensure data quality through validation checks, documentation, and version control best practices.

+ Support ad-hoc analyses and recurring reporting needs.

+ Comfortable collaborating with teams who have little technical background and guiding them toward well-defined questions.

+ Ability to manage multiple projects, prioritize tasks, and ensure stakeholders understand timelines and trade-offs.

** Responsibilities*
* ** Description*
* + Lead the coordination and alignment of cross-functional stakeholders (e.g., finance, engineering, data analytics, and operations) to build and scale an in-depth reporting framework.

+ Define and maintain a roadmap for unified business reporting, with focus areas including customer- and data center-level P&Ls, SKU-level trend tracking, and allocation methodology alignment.

+ Identify and validate sources of truth across business functions; drive consensus on definitions, ownership, and cadence of key business metrics.

+ Establish and manage rhythm of business processes to support real-time visibility into performance drivers.

+ Lead efforts to define success criteria and reporting requirements; oversee the development of dashboards and tools that support performance tracking and decision-making.

+ Standardize business logic, allocation rules, and financial models to ensure consistency and transparency across reporting domains.

+ Provide structure, clarity, and accountability in a highly dynamic environment; lead and influence without direct authority to drive timely execution.

** Responsibilities*
* + Translate stakeholder questions and vague verbal requirements into technical solutions and documented logic.

+ Transform, clean, and model complex datasets using R or Python. Ensure data quality and integrity by independently formatting, restructuring, and validating data as required.

+ Create visually appealing dashboards and visualizations to communicate complex insights to both technical and non-technical stakeholders using packages such as ggplot2, matplotlib, seaborn, plotly, etc.

+ Write efficient SQL queries for data extraction, validation, and transformation.

+ Collaborate cross-functionally with non-technical teams (operations, product, leadership, research, etc.).

+ Communicate analytical findings clearly through email summaries, slide decks, and live presentations.

+ Ensure data quality through validation checks, documentation, and version control best practices.

+ Support ad-hoc analyses and recurring reporting needs.

+ Comfortable collaborating with teams who have little technical background and guiding them toward well-defined questions.

+ Ability to manage multiple projects, prioritize tasks, and ensure stakeholders understand timelines and trade-offs.

Disclaimer:

** Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.*
* ** Range and benefit information provided in this posting are specific to the stated locations only*
* US:
Hiring Range in USD from: $90,100 to $199,500 per annum. May be…
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