The Director of Data & Analytics will play a critical role in building and leading the next generation of analytics capabilities, driving enterprise-wide applications of analytics and data science with measurable business value. This position will report to the VP of Data & Analytics

As an exceptional data science and analytics leader, you are growth-oriented and have a proven track record of building highly effective geo-distributed teams that make the impossible possible. You will need to be a strategic thinker, frame & find solutions to complex data and people challenges, measure & drive results, and be able to move fast and maintain focus on the highest impact initiatives while keeping track of trade-offs made along the way. The right candidate will be data-driven - you can own your metrics - and have a superior handle on technology, to complement a proven data-driven track record of supporting accelerated global growth at tech companies, across culture, talent development, total rewards, and employee relations.

WHAT YOU WILL DO :

- Assess and develop roadmap and capabilities for high priority analytics use cases, in partnership with the VP of Data & Analytics, including establishing and supporting strategic priorities and designing operational processes for data science, ML, and AI.

- Define and build a team of high performing data scientists, ML engineers, and analysts in a global operating model

- Lead the entire delivery lifecycle of use case development from scoping and designing solutions to scaling from pilots to broader rollout.

- Be a trusted partner to the Operating Companies, working collaboratively across teams to design and deliver solutions that drive measurable business results.

- Recommend solutions and best practices at the enterprise and Operating Company levels, partnering with Principal Data Architect

- Provide thought leadership on emerging quantitative fields where data science can play a significant role

The Director will bring a multidisciplinary approach to this vital role, including seasoned business acumen, applied advanced analytics expertise, and an ability to tie data-driven insights into tangible commercial and consumer use cases and communicate them in a simple and compelling manner that spurs action. S/He will assess the feasibility, business value, and time horizons of data & analytics use cases as well as launch pilots while weighing short-term wins with longer-term payoffs. S/He will develop, pilot, scale, and industrialize data & analytics use cases in an iterative, agile manner, designing and executing on a vision that is consistent with the organization's plans for growth and transformation.

WHO YOU ARE :

- Bachelor's degree required (Master's degree preferred) in a relevant field or related discipline (Computer Science, Mathematics, Engineering, Business Management, etc.)

- 10+ years of experience in analytics, engineering or management consulting or equivalent analytical/data science experience

- Accomplished team leader, with experience building a global team of and managing high-performing Data Scientists, ML Engineers, and Analysts

- Experience working within and driving strategy for large, global, complex organizations across multiple stakeholders and teams

- Hands on evaluation experience with understanding of data exploration, model comparison, model evaluation, insights/interference, and data Interpretation / insight analysis.

- Demonstrable delivery experience using a wide variety of machine-learning techniques including classifiers, regression, clustering, decisions trees, neural networks, NLP and ensemble techniques.

- Experience with customer segmentation, behavior analysis, developing recommender systems, fraud analytics, personalization systems and forecasting.

- Ability to work with data and ML engineers to design/develop data intensive solutions.

- Experience with solution design and development, quality assurance and testing, data visualization and prototyping.

- Ability to collaborate effectively with others building relationships with key stakeholders across the organization

- Executive presence a must with ability to effectively communicate through verbal and written formats

- Strong presentation skills with ability to take very technical concepts and translate to business value to various audiences

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