Insights and Analytics Lead, Core ML

Key Skills

CoreML, Effective communication skills, Leadership Skill, Machine learning techniques, Product Management

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
• Experience working with and analyzing data, and managing multiple projects.
• Experience with performing market analysis and developing competitive intelligence.

Preferred qualifications:

• Advanced degree or equivalent practical experience.
• Ability to manage senior stakeholders and communicate with a technical management team.
• Ability to form and refine hypotheses, gather supporting data, and make recommendations.
• Excellent written and verbal communication skills, with the ability to synthesize data into useful formats and bring insights.
• Excellent problem solving and analysis skills, including opportunity identification, market segmentation, and framing of ambiguous problems.

About the job

Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.

Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.

Google’s Core ML teams goal is to accelerate Google’s delivery of the world’s AI products by providing services, infrastructure, and frameworks that are efficient and reliable at scale. The teams customers are internal product teams, external customers and partners, and the full open source developer community.

As a member of the Product Strategy and Operations team, you will work across product management teams and partners (e.g., engineering, UX, customer experience, technical program managers, marketing, developer relations, etc.) to help shape the future of AI at Google. In this role, you will provide critical insights and analytics for Core ML, deliver market analysis, and customer-focused insights and metrics.

The US base salary range for this full-time position is $139,000-$207,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Help define cross-product business metrics for Core ML leadership decision making and product roadmaps.
• Partner with product and engineering teams to synthesize user data into insights presented in dashboards and reports.
• Leverage third-party market data to build assets that surface valuable insights to the business stakeholders and help inform product roadmaps.
• Identify gaps in the existing data and engage in original research to fill these gaps, utilizing third-party vendors and tooling where appropriate, and synthesize key industry and competitive trends, including the development of industry benchmark comparisons.
• Work collaboratively with other members of the team and the Product organization to create ongoing cadences and distribute recommendations (e.g. newsletters, dashboards, executive reviews, etc.).