Director of Event Processing & Analytics, ABBYY
$150-215k
SQL
AWS
GCP
Python
Tableau
R
Kafka
Power BI
Azure
Kinesis
Senior and Expert level
Remote from US
Digital intelligence platform
Job no longer available
Digital intelligence platform
501-1000 employees
B2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaS
Job no longer available
$150-215k
SQL
AWS
GCP
Python
Tableau
R
Kafka
Power BI
Azure
Kinesis
Senior and Expert level
Remote from US
501-1000 employees
B2BArtificial IntelligenceBig dataDeep TechMachine LearningSaaS
Company mission
To redefine how work is done and how processes run within organizations to give you back your time.
Role
Who you are
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. A master’s degree or advanced certification is a plus
- 8+ years of experience in data analytics, data engineering, or event processing, with at least 4 years in a leadership or management role
- Strong experience in designing and managing real-time event data processing systems and architectures
- Expertise in data analytics, visualization, and reporting tools (e.g., Tableau, Power BI, SQL, Python, R)
- Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure) and event streaming technologies (e.g., Kafka, Kinesis)
- Deep knowledge of machine learning, predictive analytics, and statistical modeling techniques
- Proven ability to manage complex data projects, deliver results under pressure, and collaborate with diverse teams
What the job involves
- As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business
- Innovation and excellence run through our veins, and you will work with experts who are creating market-leading technologies, using Machine Learning and Artificial Intelligence, and an advanced and sophisticated tech stack
- Develop and execute the strategic vision for event data processing and analytics across the organization
- Lead, mentor, and manage a team of data engineers, data scientists, and analysts, fostering a culture of collaboration, innovation, and excellence
- Define best practices for the collection, processing, and analysis of event-driven data to ensure consistent, high-quality insights
- Align event data analytics strategies with business objectives, ensuring that data-driven insights support key organizational goals
- Oversee the architecture, implementation, and optimization of event processing systems that handle high-volume, real-time event data
- Ensure the efficient and accurate collection, processing, and storage of event data from diverse sources such as user interactions, system logs, transactions, and external APIs
- Work closely with engineering teams to design scalable and reliable systems that can handle complex event-driven architectures
- Continuously improve data pipeline processes, monitoring and troubleshooting to resolve bottlenecks and improve performance
- Lead the development of analytics frameworks to interpret event-driven data and generate actionable insights
- Partner with product, marketing, and business teams to identify key business questions and deliver data solutions that drive better decision-making
- Utilize advanced analytics techniques (e.g., machine learning, predictive modeling) to derive insights from large, complex datasets
- Build and maintain dashboards, reports, and visualizations to communicate insights clearly to stakeholders at all levels of the organization
- Collaborate with engineering, IT, product management, and business stakeholders to ensure the effective use of event data for various use cases such as product optimization, customer behavior analysis, and operational improvements
- Translate business needs into data models and analytic frameworks that solve complex problems and provide actionable insights
- Partner with data governance teams to ensure data privacy, security, and compliance with relevant regulations (e.g., GDPR, CCPA)
- Establish and track key performance indicators (KPIs) to measure the success of event processing and analytics efforts
- Regularly evaluate the performance and scalability of event data systems, driving improvements to meet evolving business needs
- Leverage feedback and insights from business users to iteratively enhance data systems and analytics capabilities
- Hire, train, and develop a high-performing team of data engineers, data scientists, and analysts with expertise in event data processing and analytics
- Promote a culture of continuous learning, providing opportunities for team members to grow their technical and analytical skills
- Ensure the team stays up to date with industry trends, new technologies, and best practices in event data processing and analytics
- Evaluate and select tools, platforms, and vendors for event data processing, analytics, and visualization
- Negotiate contracts and manage relationships with external vendors and partners to support the event processing and analytics infrastructure
- Identify potential risks related to data privacy, security, and operational continuity and implement strategies to mitigate them
- Ensure compliance with industry regulations and internal policies related to data collection, processing, and analysis
Our take
ABBYY has been pushing the boundaries of technology since the 80s, when it was founded with the launch of a digital language translation dictionary. It then evolved into a document translation and processing solution, and now leverages innovations in AI to help companies process their data to extract actionable outcomes.
With years of experience in the automation sector, it is no wonder ABBYY’s client number is in the hundreds of thousands and includes a number of Fortune 500 businesses. It ability to adapt to the needs of enterprises helps it to maintain its strong foundation as it continues to grow revenue, launch new products and expand its global business.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (1 round)
Apr 2015
$6m
EARLY VC
Total funding: $6m
Company benefits
- Remote and hybrid working options
- Flexible hours
- Paid volunteering days off
- Parental leave in all our locations
- Work in an international environment, supported by some of the brightest minds in the industry
- Join an innovative brand that transforms how Intelligent Automation solves highly complex business challenges for top global companies
Company HQ
Congress Avenue Historic District, Austin, TX
Leadership
Ulf Persson
(CEO & Board Director)Previously, the Director of Tablogix, Managing Partner at Mint Capital and was Chairman of UCMS Group Ltd.
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