The ML Modelling manager is a manager on the Quota & Analytics team.  The role’s primary responsibilities is to define quota methodologies aligned to company strategy, build and land Machine Learning based models and be primary contact to improve quota understanding. This is a critical role and the individual is also expected to play an important role in influencing broader WWIC strategy & direction across business, data architecture, platform strategy that the team pursues on its journey of WW Incentive Compensation team’s digital transformation journey. 

Responsibilities

Below are some of the key responsibilities of the role (not exhaustive)

• Managing a high performing team of FTEs
• Subject Matter Expert in Machine Learning algorithms
• Be the lead Data Scientist for the organization
• Leveraging deep subject matter expertise in Incentive Compensation to maximize Plan Understanding, plan impact (performance analytics), quota setting, and participant performance.
• Building strong Trusted Advisor Partnerships with Sales Leaders and Managers and increasing quota understanding within WWIC and amongst key stakeholders
• Engaging with senior leadership and executives to understand the evolution of sales strategies to ensure that quota methodologies, models and motivational levers of our sales incentive plans are aligned
• Increasing internal WWIC understanding of quota implications on plan performance by ensuring that all teams can communicate and explain quotas at start of each measurement period.
• Engaging with Plan Design, senior Leadership, and executives to understand the evolution of sales strategies to ensure that quota setting methodologies support all plan design components.

Core Competencies Required:

• Leadership & People Management – effectively leverages strengths of the team to deliver results, focused on career growth for team members, creating an environment that to enables team members to bring their best
• Expert in Machine Learning algorithms and modelling
• Analytical Problem Solving - Systematically considers the implications of problems and solutions in more than one domain at a time and does not solve a problem in one domain in a way that causes a problem in another
• Business knowledge and understanding – has pulse on business models, changes in business, connecting the dots across various channels, products, geographies etc.
• Strong communication skills – Effective communications within team and across functions, stakeholders and business partners
• Confidence - Acts confidently in uncertain circumstances; works effectively in ambiguous situations
• Creative and innovative solutions to reduce cycle times and drive efficiency and improved outcomes
• Cross-Boundary Collaboration - Seeks support for collaborative activities from peers, upper management; informs workgroups, peers, upper management about how they can be more successful with a collaborative approach in certain areas
• Impact and Influence - Consciously develops influence strategies; anticipates others' reactions
• Interpersonal Awareness - Understands less-obvious reasons for others' concerns, behavior, and perspectives
• Trusted Advisor - Probes the expressed and unexpressed needs of clients and peers to understand underlying issues.
• Strategic Insight - Probes for additional information when necessary but does not get sidetracked by extraneous details

Values expected to be demonstrated:

Integrity and Honesty, Big Challenges, Passion, Open and Respectful, Accountable, Pursuit of Excellence

Qualifications

Basic qualifications include (specific to each area)

• PhD or MBA in Business, Engineering, Statistics or related field
• Minimum 10 yrs. experience in a compensation, statistics or economics roles
• Highly effective people management and development skills and experience
• Ability to communicate effectively with all levels of business including Senior leadership
• Excellent customer service and cross group collaboration skills to build strong business partnerships
• Strong analytical, problem solving, decision making and emotional intelligence skills
• Ability to develop and implement creative solutions and influence others in their adoption.
• Excellent oral and written communication skills, including presentation experience and interpersonal skills.
• Deep awareness of process design and optimization and skills to drive transformational change

Preferred experiences include:

• Strong business acumen, familiarity with a sales culture, and ability to serve as an evangelist for Microsoft
• Detailed oriented with “big picture” thinking to understand the key trends and levers that drive the business
• Excellent planning & time management skills, ability to succeed in direct accountability and influence structures
• Capable of defining & implementing business strategies in a fast, ambiguous & results-oriented environment
• Excellent problem-solving skills and the ability to resolve conflict and exercise sound business judgment
• Ambitious, self-starter with the ability to multi-task, manage priorities and reprioritize as necessary
• Project Management skills and ability to drive complex projects WW
• Ability to use industry benchmarking data to build recommendations for critical business decisions

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.