Principal Program Manager
Job in
Juneau, Juneau Borough, Alaska, 99811, USA
Listed on 2026-02-17
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
* ** 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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