Data Office and Analytics Leader

Key Skills

Amazon RedShift, API, AWS, Data pipelines, ETL frameworks, ETL/ELT technologies, PowerBI, SQL

Job Description

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Data Office & Analytics Leader is the go-to data analytics partner at Welocalize, responsible for building and managing a world-class Data Office and Data Analytics team. This role is crucial in enabling data-driven decision-making by ensuring the availability, integrity, and accessibility of our data assets. The Data Office & Analytics Leader is responsible for managing the analytics engineers that develop and maintain our data lake and warehouse infrastructure, as well as a group of business analyst partners in strategically leveraging our data assets. This position reports to the Head of AI R&D and Data Office and collaborates cross-functionally with individuals at all levels of the organization (including executive leadership) to deliver actionable insights and drive business growth.

Main Duties

• Lead and mentor Data Office & Analytics team personnel, including setting and prioritizing goals, evaluating progress towards goals, and career development.
• Ensure that all team activities are properly managed and documented in JIRA to: Demonstrate value-added; enable accurate attribution of costs to the business; drive accountability to and engagement with the business; and facilitate prioritization.
• Oversee and ensure the success of the individuals responsible for managing Welocalize’s data lake and data warehouse infrastructure (currently utilizing AWS Redshift and Matillion).
• Oversee and ensure the success of data analysts who interface with and support the business, working closely with business stakeholders to understand their data needs and deliver actionable insights.
• Implement and optimize ETL processes to ensure efficient and reliable data extraction, transformation, and loading.
• Oversee and manage the execution—participating where necessary—of the development roadmap, applying capabilities such as data extraction using SQL, APIs, scripting languages, and building ETL jobs/data pipelines with various third-party systems/platforms (e.g. Redshift, Matillion).
• Ensure data quality and integrity across all data assets, implementing appropriate data governance practices and collaborating with IT and InfoSec to ensure regulatory compliance.
• Manage to established SLA's for service availability, support response, and platform performance.
• Using a listen-first philosophy, quickly form trusted-adviser relationships with employees, including senior executives.
• Together with the team, collaborate with business stakeholders to understand their data needs; elicit and document accurate and thorough business requirements; and translate them into scalable data solutions. 
• Define, prioritize and manage analytics offerings that will allow employees (and partners) to view and interact with our data to make data-driven decisions; document, measure and report on KPIs demonstrating output and overall performance in servicing the organization in these ways.
• Stay updated on industry trends and emerging technologies related to data warehousing, analytics, and visualization.
• Evaluate and recommend new tools and technologies that enhance data engineering and analytics capabilities.
• Be a thought leader and data evangelist to drive data literacy broadly; drive a culture of data-driven decision-making within the organization, promoting the use of self-service analytics tools like Microsoft Power BI.
• Oversee and ensure the effective management of BI and data support queues, escalating to other teams, when appropriate.
• Maintain a self-starter mindset to proactively anticipate and address partner needs.
• Proactively ensure that technical & system requirements are met to deliver stable and reliable solutions to the business, with clearly-defined support structures, escalation procedures, and other contingencies to address service disruptions; continuously evaluate system performance—in cooperation with IT and Product as appropriate—and ensure that the software/tools/platforms/infrastructure in place is well-positioned to scale with the business and optimized to the organization’s needs.

Qualifications

• Education: Bachelor's or master's degree in a relevant field (e.g., Computer Science, Data Engineering, Information Systems, or a related discipline).
• Proven experience (3+ years minimum; 5+ years preferred) in a leadership role overseeing data engineering, data warehousing, and analytics initiatives.
• Strong expertise in managing and optimizing data warehouse infrastructure, preferably using AWS Redshift and Matillion (broader experience is a plus).
• Experience in data architecture, including solid understanding of SQL and database tech, modeling, design, data management, data security and system integrations.
• Extensive experience with data extraction using SQL, APIs, scripting languages; and building ETL jobs/data pipelines; familiarity with Redshift and Matillion preferred.
• Experience with data visualization tools, ideally Microsoft Power BI.
• The ability to connect vision to strategy to action.
• Strong leadership skills with the ability to mentor and inspire a high-performing team.
• Strong communication and stakeholder management skills.
• Strong analytical and problem resolution skills.
• Understanding of machine learning/AI, and new/emerging BI technologies.
• Preferred: experience working in an Agile development environment.