Director - Decision Intelligence

Key Skills

Aartificial intelligence, Agile methodologies, AWS, Azure, Data Analytics, Data science techniques, Effective communication skills, KPIs, Machine learning techniques, PowerBI, Project management, SAS, Tableau

Job Description

The DI team focuses on facilitating data driven change and creating business value through data and advanced analytics. He/she will be responsible to help develop and deploy end-to-end customer solutions that support, augment and automate business decisions by linking data with decisions and outcomes. The successful candidate will have the perfect blend of business acumen, in depth knowledge of data science and AI technologies along with strong leadership skills to deliver innovative digital solutions that enables effective decision making. He/she will lead the partnership with PSaS business leaders and Information Technology partners to deliver solutions on time and within budget.

Responsibilities will include, but are not limited to:

• Understands the decision-making process, workflows, and business and information needs of the PSaS business unit leaders

• Drive innovation by searching for and evaluating new transformative solutions using data and analytics that will lead to better decision making and business process improvements

• Accountable for successful delivery of innovative DI solutions by working with the cross-functional teams

• Identify and drive execution of all the key activities/product roadmap needed to implement the use cases (from requirements to solution adoption) by working with cross functional teams and create transparency on scope, timelines, key milestones

• Lead estimation of the cost to deliver the solution and the quantifiable benefits it is creating for the business

• Focus on customer centricity to guide matrixed teams through the design and development of solutions by iterative Agile approach

• Collaborate with Project Manager or Scrum Master to make sure that right resources are engaged to provide the solution and roadblocks that impede the progress are addressed

• Plan, review, and refine the scope of the Agile sprints to align with overall use case vision and communicate to leadership teams on key releases, status, outcomes and value created

• Proactively identify and manage risk to timelines and overall deliverables

• Work with business data analysts to capture requirements from business users as well as by analyzing raw data from multiple sources using advanced analytical techniques and algorithms

• Supports the development and definition of KPIs that assist business leaders in managing the business outcome

• Ensures that DI solutions have sound technical architecture and make use of appropriate technologies

• Leads and manages the business identification, selection and business case preparation for new tools or resources required to continue to advance the delivery of advanced analytics, visualization, reporting, scorecard, and data usage

• Be a champion for the DI solutions created by influencing its adoption and activation across relevant business areas

Minimum Requirements

Typically requires 12+ years of professional experience and 4+ years of management experience.

Critical Requirements

• 10+ years of data and analytics experience

• Deep knowledge of business analytics and associated practices relevant to the healthcare/pharmaceutical/biotech industries

• Understanding of AI/ML machine learning and predictive modeling techniques is a must

• Strong experience with SQL, data extraction methodologies, relational and dimensional databases methods

• Experience with cloud computing data platforms: e.g. Azure, AWS

• Expertise in applying data analysis, data science, BI reporting and other analytics frameworks and techniques to influence business decisions

• Ability to work in a matrix environment and build partnership with both internal and external stakeholders

Additional Requirements

• Familiarity with a data visualization tool: e.g. Tableau, Power BI

• A team player and a leader who can develop and foster analytical capabilities within the team using a multitude of tools

• A natural curiosity and an appetite to try and fail fast

• Proven track record of solving complex problems, thinking creatively, and using data to tell a story to influence senior level stakeholders

• Outstanding verbal and written communication with all levels of management, ability to translate technical term into Business insight

Education

• Bachelor’s degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field OR equivalent experience. Master’s degree preferred

Physical Requirements

• General Office environment

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.

As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Our Base Pay Range for this position

$128,600 - $214,400

McKesson is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.