Google Inc.
Data Transformation Lead, Education and Careers
Google Inc., Chicago, Illinois, United States, 60290
Data Transformation Lead, Education and Careers
Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Chicago, IL, USA; Washington D.C., DC, USA . Qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field. Experience in leading projects, including planning, execution, and delivery. Preferred qualifications:
Experience in working with adtech products (e.g. DSPs, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, DMPs, CDPs. Ability to build and maintain relationships with executive-level stakeholders. Ability to create goals for clients, aligning client business goals with AI-powered technical solutions. Ability to work closely with cross-functional teams (including sales, data science, and engineering) and to influence executive stakeholders. Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences. About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. As a Data Transformation Lead (DTL), you will be at the forefront of a major shift, helping some of the world's most innovative tech companies revolutionize their approach to marketing through the strategic adoption of AI. You will partner with cross-functional teams, including sales, data science, and engineering to drive the adoption of innovative AI-powered marketing strategies. Responsibilities
Develop and advocate for AI-driven marketing strategies, creating goals for how Google's solutions address client issues and unlock growth. Lead clients in modernizing their data infrastructure for advanced AI, establishing best practices and a long-term data strategy. Act as a key technical advisor, translating complex concepts into clear stories for business stakeholders. Partner with sales and product teams to identify opportunities and drive growth. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Chicago, IL, USA; Washington D.C., DC, USA . Qualifications:
Bachelor's degree or equivalent practical experience. 8 years of experience in consulting, corporate strategy, technology sales, data analytics, performance marketing, business analysis, product strategy, or a related technical field. Experience in leading projects, including planning, execution, and delivery. Preferred qualifications:
Experience in working with adtech products (e.g. DSPs, Google Analytics, Google Cloud, Tag Manager) and familiarity with data warehouses, DMPs, CDPs. Ability to build and maintain relationships with executive-level stakeholders. Ability to create goals for clients, aligning client business goals with AI-powered technical solutions. Ability to work closely with cross-functional teams (including sales, data science, and engineering) and to influence executive stakeholders. Excellent written and verbal communication skills, with the ability to present technical information to both technical and non-technical audiences. About the job
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. As a Data Transformation Lead (DTL), you will be at the forefront of a major shift, helping some of the world's most innovative tech companies revolutionize their approach to marketing through the strategic adoption of AI. You will partner with cross-functional teams, including sales, data science, and engineering to drive the adoption of innovative AI-powered marketing strategies. Responsibilities
Develop and advocate for AI-driven marketing strategies, creating goals for how Google's solutions address client issues and unlock growth. Lead clients in modernizing their data infrastructure for advanced AI, establishing best practices and a long-term data strategy. Act as a key technical advisor, translating complex concepts into clear stories for business stakeholders. Partner with sales and product teams to identify opportunities and drive growth. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.
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