The Product Owner, Commercial Data, reports to the Sr. Director, Commercial Intelligence and act as the primary business partner to the McKesson Canada Data & Analytics Hub organization to ensure the Commercial Intelligence team has advanced analytics and intelligence on business and customer performance, competitive landscape, industry trends and financial planning. This person represents the Spoke in its interactions with the Canada Data & Analytics Hub and leads data integration, modelling and quality within the team.

Specific Responsibilities A subject matter expert in BI programming language (SQL, R, Phyton, DAX) that will support the entire Marketing & Commercial Operations organization, including internal team

Work with BI Analysts and other stakeholders to gather the data needs to further develop a comprehensible data model

Develops and maintains multiple data models, data flows and data sets for internal team in accordance with governance guidelines and policies

Defines the process, standards, and guidelines for multiple data models, data flows and data sets for internal team

Participates in the Enterprise Data Governance Operating Model as a Data Steward to document all critical data elements

Acts as the primary point of contact between the Spoke and Canada Data & Analytics Hub

Support with consolidating and prioritizing requests submitted to Canada Data & Analytics Hub from the Spoke

Act as a functional data domain expert to contribute to and advise on Data & Analytics decisions and initiatives

Provides input into the enterprise data strategy and shape any business unit specific data strategies

Support Data & Analytics initiatives by validating data sources, calculations,



and outputs

Disseminate information and communications between the Canada Data & Analytics Hub and the Spoke

Position Requirements

University degree in relevant discipline

Minimum 5 years of experience in Data and Analytics space in different capacities

Good knowledge of SQL (CTE’s, window functions and joins), Python, R and DAX

Knowledge and experience with Snowflake, SQL Server, CRM (Salesforce) and SAP

ETL / Data Warehousing understanding

Hands on experience with Power BI

Advanced knowledge of the MS Office products (Excel, Power BI, PowerPoint, Word)

Strong attention to detail

High sense of urgency with ability to multi-task, work proactively and independently in a fast-paced, dynamic environment

Strong analytical and problem-solving skills with organization and autonomy

Ability to collaborate with various levels of management and employees

Experience with data quality tools is an asset

Strong written and verbal communication skills

Ability to champion change at all levels

Ability to travel when needed

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations.

In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding advantages at McKesson, please

Our Base Pay Range for this position

$94,400 - $157,300

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