See yourself at Twilio

Join the team as our next Senior Director of Data & Analytics

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we have presence throughout South America, Europe, Asia and Australia. We're on a journey to becoming a globally anti-racist, anti-oppressive, anti-bias company that actively opposes racism and all forms of oppression and bias. At Twilio, we support diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

This position is needed to build, lead, and scale a successful data organization; across Data Analytics, Data Science, Data Engineering and Data Governance.

Responsibilities

In this role, you’ll:

• Define a clear data strategy and roadmap for the organization by understanding the needs and use cases of the stakeholders, driving alignment around prioritization, and ensuring execution of the roadmap
• Architect and implement large-scale data processing infrastructure that enables analytics, data science, and machine learning in a cloud environment supporting hundreds of concurrent users
• Operationalize data governance and management framework and approach across all data domains
• Provide strategic leadership to grow and align data science and data engineering platforms into esteemed and commercially viable centers of excellence.
• Partner with software engineering teams and data stewards to model foundational schemas, and establish data contracts to improve production-level data quality at every stage of the data lifecycle
• Collaborate with the executive team to re-imagine Twilio's data ecosystem as a  translational engine wherein scientific talent drives innovation.
• Serve as a role model as a responsible and accountable “working” leader.
• Prioritize creation of Data Assets (both internally and externally sourced)
• Build and maintain core data assets supporting major analytics and insights use cases across the organization
• Design and build a scalable data platform that can ingest, store, manage and stream massive amount of data while simplifying its analysis and processing to enable rapid development of high-quality data products and services
• Design and optimize data pipelines to support descriptive analytics, data science, and ML
• Create Data Analytics solutions to business problems enabling increased competitiveness
• Together with product management  design and execute a roadmap to build a portfolio of differentiated, revenue driving services
• Collaborate with UX and software engineering teams to ensure easy discovery and licensing of data as well as a low-latency delivery of and high-uptime access to the data products and services
• Implement a data governance policy for data management of partner/3rd party data to ensure data privacy compliance with GDPR and CCPA
• Partner with software engineering teams in designing data request/delivery APIs and the creation of a standardized metering and instrumentation approach for all data products
• Design and implement an experimentation platform for the agile, but secure, testing of data products and services
• Drive continual improvements for reliability, performance, scalability, and quality and own associated KPIs
• Build and mentor a world class team of data engineers, expanding the impact and reach of data at Twilio
• Serve as strategic advisor to the executive team. Using data to deliver insights, you will impact and influence decision making of key performance drivers.
• Build a multi-year strategy around data. Ensure we are thoughtful about what data we collect, growing it where possible and useful, and that we are using it to its full potential.
• Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment.
• Act as a champion for a data-driven culture and share the best operating practices within as well as outside the Data team.
• Champion the use of data throughout the organization, work to ensure our strategic planning is guided by data.
• Be a leader with vision - what other questions should we be asking and answering?

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

• 7 or more years of experience in the data engineering and software development life cycle
• 5 or more years of team building and people management experience
• 5 or more years of hands-on experience building and maintaining customer facing (revenue driving) data products
• Deep expertise in modern cloud-based data platforms, architectures; intimate familiarity with vendor ecosystem (i.e., AWS Redshift, Google BigQuery, Azure Data Warehouse, etc.)
• Experience working with DaaS/SaaS platforms and products
• Strong product sense, with a solid understanding of user engagement and monetization strategies for data
• Comprehensive experience using SQL, Python, and Spark
• Expert knowledge of time series database, data streaming applications e.g. Kafka
• Comprehensive experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Familiarity with modern data science and product analytics tools and techniques such as R, Machine Learning, and advanced statistics is a plus
• Comprehensive experience with predictive and prescriptive modeling/ machine learning

Desired:

• Candidates with advanced degree with technical focus (e.g., Statistics, Computer Science, physics, engineering, etc.) or related fields accepted at lower experience levels
• 8+ years of experience in a data engineering role building end-to-end ETL/ELT pipelines, and working with data warehouses, data lakes, and their underlying infrastructure
• Experience with data governance, schema design, and schema evolution
• Progressive leadership experience mentoring and coaching others, and partnering with cross-functional teams
• Experience building, maintaining & improving batch data pipelines using DAG-based tools such as Airflow
• Experience with cloud computing platforms such as Google Cloud Platform & AWS
• Experience implementing DevOps best practices within the data platform, including solutions for CI/CD, data observability, monitoring, and lineage

Location 

This role will be remote and based in the USA.

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

*Please note this role is open to candidates outside of Colorado, California, New York, and Washington. The information below is provided for candidates hired in those locations only.

The estimated pay ranges for this role are as follows:

• Based in Colorado: $234,480 - $293,100
• Based in New York, Washington State or California (outside the San Francisco Bay Area): $248,320 - $310,400
• Based in the San Francisco Bay area, California: $275,840 - $344,800
• This role is eligible to participate in Twilio's equity plan and the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. 

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location within the state.