Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
In this role, you will act as a key leader to own and scale outcomes for the new Artificial Intelligence (AI)-focused demand. You will hire, mentor, and lead a Data Science pod based in India to drive data science initiatives for People Operations use cases. You will bridge the gap between business questions and advanced technical execution. You will provide the advanced technical leadership, solution code design, and cross-functional alignment required to guide the team and ensure these models are built to Google's standard from day one. You will drive technical conversations and guide the overarching architecture while managing executive stakeholder influence and advocating AI transformation across the organization.
Responsibilities
- Hire, manage, and coach a Data Science pod based in India. Build community, promote a welcoming environment, and develop a performing team of data scientists.
- Provide technical expertise and knowledge of Machine learning, Agent development lifecycle, statistical analysis, applied mathematics, and data science applications to review solution design, Python code, and guide technical architecture.
- Translate business questions into analysis, define data requirements, and develop project roadmaps for open-ended problems.
- Oversee development, deployment, and integration of Artificial Intelligence/Machine Learning (AI/ML) models, such as predictive models, Natural Language Processing (NLP) models, AI solutions and adverse impact analysis.
- Utilize executive communication to persuade executive leaders, align partner teams with engaging goals, and integrate workstreams across multiple People Operations initiatives.
Qualifications
Minimum qualifications:
- Master's degree in a Statistics, Engineering, Sciences, or a related quantitative field, or equivalent practical experience.
- 7 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- 3 years of experience as a people manager within a technical leadership role.
- Experience with building and deploying machine learning models for business applications.
Preferred qualifications:
- PhD in Computer Science, Statistics, Engineering, or a related quantitative field, or equivalent practical experience.
- 9 years of experience with using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Experience in collaborating with executive leaders and driving cross-functional alignment, with excellent stakeholder management skills.
- Experience with leading, developing, and prioritizing work for an offshore pod across timezone.
- Excellent technical and applied ML skills, with the ability to drive technical designs.