Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field
5+ years of experience in data engineering, analytics, software engineering or related technical roles
3+ years managing consumer data from digital applications and websites
Proficiency in SQL and experience with relational and NoSQL databases
Experience with customer data platforms (CDPs) and consumer data collection methods
Familiarity with event tracking frameworks and web/mobile analytics implementation
Strong communication skills to convey technical concepts to non-technical stakeholders
Responsibilities
Collaborate with stakeholders to translate business analytics requirements into technical specifications
Define data plans and tracking specifications with the enterprise data architect
Implement comprehensive event tracking systems in collaboration with front-end developers
Review tracking implementations to ensure data consistency and accuracy
Guide data quality analysts in investigating and resolving data issues
Ensure data accessibility and usability with cross-functional teams
Establish and maintain data quality standards and governance frameworks
Benefits
Flexible Time Off program
Hybrid work model
Variety of medical insurance options with $0 cost premium employee coverage
401K match with no vesting requirement effective day 1
Progressive family plan benefits
Opportunity to work for a global technology leader
Collaborative environment for impactful work
Full Job Description
Job brief:
As a Technical Program Manager for Consumer Data at the Weather Company, you will guide the instrumentation of consumer data collection that supports reporting, analytics, and machine learning use cases. You will lead our consumer data quality initiatives across our digital ecosystem, responsible for ensuring the integrity, accuracy, and accessibility of consumer data collected from our applications and websites. You will also bridge the gap between business analytics needs & technical data infrastructure while collaborating closely with front-end development teams to implement robust data tracking solutions.
The impact you'll make:
Collaborate with stakeholders, such as product, marketing, and content managers, to understand business analytics requirements and translate them into technical specifications.
Work with enterprise data architect to define data plans, tracking requirements, and specifications for downstream consumer behavior analytics.
Partner with front-end application developers to implement comprehensive event tracking systems.
Review and approve tracking implementation to ensure data consistency and accuracy.
Guide data quality analysts to investigate potential or existing data issues. Work cross-functionally to resolve them.
Work with data scientists, data and BI engineers, business analytics teams to ensure data accessibility and usability.
Establish and maintain comprehensive data quality standards and governance frameworks for consumer data.
Design and implement data validation processes to ensure accuracy and completeness of consumer behavioral data.
Develop automated data quality checks and alerting systems, such as data quality dashboards.
Establish best practices for data instrumentation across web and mobile applications.
Lead the design and implementation of consumer data collection frameworks.
Drive continuous improvement initiatives for data infrastructure and processes.
Ensure data lineage documentation and metadata management.
What you've accomplished:
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field
5+ years of experience in data engineering, analytics, software engineering or related technical roles
3+ years of experience managing consumer data from digital applications and website
Proficiency in SQL and experience with both relational databases (PostgreSQL, MySQL, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB)
Knowledge of customer data platforms (CDPs) and consumer data collection methods such as SDKs, cookies, pixels, and APIs.
Experience with event tracking frameworks and familiar with integrating tracking among multiple partners in order to collect data across systems.
Understanding of web and mobile analytics implementation (Amplitude, Google Analytics, Adobe Analytics, Mixpanel)
Understanding of data privacy regulations and their impact on data collection practices
Understanding of A/B testing frameworks and experimentation platforms
Experience with cloud-based data lake solutions (AWS S3/Glue/Athena, Azure Data Lake, Google Cloud Storage/BigQuery)
Proven experience leading technical teams and cross-functional projects
Strong communication skills with ability to explain technical concepts to non-technical stakeholders
Experience working in Agile/Scrum development environments
Project management experience with ability to manage multiple initiatives simultaneously
Base Salary: $130,000 - $155,000
The base salary offered will take into account internal equity and may vary depending on the candidate's geographic region of work premises, job-related knowledge, skills, and experience, among other factors.
TWCo Benefits/Perks:
Flexible Time Off program
Hybrid work model
Variety of medical insurance options including a $0 cost premium employee coverage
Benefits effective day 1 of employment include competitive 401K match with no vesting requirement, national health, dental, and vision plans
Progressive family plan benefits
An opportunity to work for a global and industry-leading technology company
Impactful work in a collaborative environment
About Athenium LLC
Athenium Analytics is a software company that provides data analytics solutions for the insurance industry. The company was founded in 2004 by David Coons and is headquartered in Boston, MA. Athenium's flagship product, Insurity, is a data analytics platform that enables insurers to improve their underwriting and claims processes. The platform uses machine learning algorithms to analyze large amounts of data and provide insights into risk and fraud. Athenium also offers consulting services to help insurers implement and optimize their data analytics strategies.
