Senior Manager, Ads and Marketing Data Science

About The Team

As a Senior Manager in Marketing Analytics & Data Science at Zillow Group, you will lead a pivotal team responsible for driving data-centric choices within Zillow's marketing operations. This team develops and manages measurement frameworks, causal models, and analytics infrastructure that influence marketing budget allocations, channel strategies, and growth initiatives globally. Based in Bengaluru, this position directs a group of data scientists collaborating closely with Zillow’s global Marketing, Product, and Engineering teams. The team's work, including Marketing Mix Modeling, incrementality testing, attribution, and performance analytics, significantly guides Zillow's customer outreach investments across major lifecycle events.

About The Role

We are seeking a Senior Manager of Data Science to spearhead and expand our Marketing Analytics & Data Science team in India. This leadership role requires a strong foundation in marketing measurement, including Marketing Mix Modeling, combined with proven people management skills. You will be accountable for establishing a high-performing team, managing the measurement strategy for key marketing programs, and serving as the main data science collaborator for senior marketing and business executives.

The position functions at the intersection of marketing science, causal inference, and scalable analytics infrastructure development. You will influence the approach towards marketing effectiveness evaluation while fostering processes, culture, and capabilities to cement the India team’s role within Zillow’s global Marketing Data Science division.

This is a unique opportunity to build and lead a world-class data science team addressing analytically rigorous and globally significant marketing science challenges. The role involves cross-geographical collaboration that shapes Zillow’s marketing investments and nurtures data science careers in a renowned technology company.

Note that this role is classified as an Office position, requiring employees to work from the Zillow India office approximately 80-100% of their time. Candidates should reside within a reasonable commuting distance, considering time and cost implications.

In addition to a competitive base salary, employees are eligible for incentive bonuses subject to local laws and Zillow policies. Compensation varies with experience, performance, and location.

Candidate Profile

Ideal candidates are technically proficient and business savvy data science leaders with substantial expertise in marketing measurement and analytics. They understand how MMM, attribution, and causal inference techniques relate to marketing investment decisions, equipped with leadership skills to influence these decisions effectively. Combining statistical accuracy with the ability to mentor, manage cross-functional relationships, and ensure team delivery within distributed environments is essential. The role demands balancing strategic partnership with senior leaders and reviewing complex technical outputs from the team.

Required Qualifications

• Over 10 years of experience in data science, marketing analytics, or applied measurement, including at least 4 years of leadership managing data scientists.
• Expertise in Marketing Mix Modeling methodologies, tools, business integration, and stakeholder communication.
• Strong understanding of marketing attribution, incrementality testing, and causal inference methods like geo-testing, difference-in-differences, synthetic controls, and uplift modeling.
• Experience in performance forecasting and marketing budget optimization.
• Proven leadership capabilities in setting team direction, career development, and maintaining excellence in impact and quality.
• Demonstrated ability to influence senior stakeholders across functions and geographies.
• Excellent executive communication skills, capable of explaining complex methodologies and business impacts to senior marketing and business leaders.
• Proficiency in SQL and Python or R with experience in production analytics environments.
• Comfort with working within a globally distributed team alongside US counterparts.

Preferred Qualifications

• Experience in a high-growth Indian consumer technology organization.
• Knowledge of offline marketing analytics, brand measurement, or upper-funnel attribution techniques.
• Experience modernizing and scaling legacy marketing measurement infrastructure.
• Familiarity with data infrastructure technologies such as dbt, Databricks, Snowflake, and Airflow.
• Experience managing analytics teams across multiple geographies.

Distinguishing Attributes

• Develops actionable measurement frameworks actively utilized by marketing leaders beyond simple reporting.
• Focuses on cultivating high-performing teams alongside delivering impactful models.
• Communicates adeptly across various audiences, from detailed causal analysis discussions to high-level budget implications presentations for executives.
• Maintains rigorous analytical credibility while pragmatically managing delivery timelines.
• Excels at building cross-geographical partnerships and effectively managing distributed teams.
• Balances technical involvement appropriately as scope expands, discerning when to engage hands-on or oversee strategically.

Company Overview

Zillow is transforming the home buying, selling, financing, and renting experience by offering a leading real estate platform that millions trust. Our India teams are integral in developing and scaling the technology, products, and operations enhancing this customer journey. Across every function, employees work collaboratively with global partners to address impactful challenges and help more people realize their homeownership dreams.

Diversity and Inclusion

Zillow Group is an equal opportunity employer dedicated to cultivating an inclusive and innovative environment. We provide equal employment opportunities regardless of race, religion, gender, age, nationality, disability status, or veteran status and offer reasonable accommodations for candidates with disabilities as per applicable laws and policies.