Director, Big Data/ML Engineering – Remote Canada
Job Overview
Job title: Director, Big Data/ML Engineering – Remote Canada
Job description: At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
As the Director, Big Data/ML Engineering, working remote in Canada, you will be part of the Analytics and Insights (AIX) practice and will perform key leadership and mentorship role in the areas of advanced data techniques, including data modeling, data ingestion, data integration, data visualization, data governance, statistical methods, and implementation in cloud-based, traditional and hybrid architectures.
The Director, Big Data/ML Engineering role is a highly visible and strategic position. Successful candidates are hands-on, process-oriented, and have outstanding analytical skills in developing tactical and strategic solutions. The ideal candidate is a subject matter expert in big data technologies and is also passionate about leading and mentoring a great group of engineers. We’re looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to our clients while creating a rewarding team environment.
What you’ll be doing
- Perform key leadership and mentorship role in the areas of advanced data techniques, including data modeling, data ingestion, data integration, data visualization, data governance, statistical methods, and implementation in cloud-based, traditional and hybrid architectures.
- Develop a compelling vision for bringing actionable AI/ML solutions to our clients and advancing their digital transformations
- Initiate and foster business partnerships with current and potential clients, vendors, and senior business executives
- Review, select and integrate next-generation technologies into the architectural strategy as needed.
- Work closely with the Data Science and Analytics teams to provide data required for developing, operationalizing, and managing ML models, and dashboards for customer facing applications and internal use.
- Lead the development and implementation of the data governance process. Governance must address data standardization and ways to address exponential data growth, and include establishing Data Owners and Stewards.
- Be an SME in technical and functional aspects of our insights platform and its integration requirements
- Proactively identify internal and external dependencies, issues, scope changes, and progress against project plan
- Implement and monitor quality control processes to ensure accuracy of data, dashboards, and reports.
- Develop and expand our knowledge base and best practices for delivering data products
- Provide technical support to assist clients and partners during and post implementation
- Build and lead high-performing, agile teams focused on Big Data Engineering
- Devise talent strategy for the team – identify resource gaps or inefficiencies, build hiring plan, recommend promotions, and manage performance for consistency with the needs and vision of the department.
What you’ll bring to us
- Bachelor’s in Computer Science, Engineering, Mathematics, or other quantitative field with significant leadership experience
- 10+ years of experience building data products and supporting analytics solutions (mastery of SQL, Python, Data Warehousing, experience with Big Data, stream processing)
- 5+ years of managerial experience utilizing strong leadership skills, including mentoring, communication, decision-making, and project management.
- Strong fundaments in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of architecture on software performance
- Experience working on public cloud environments and associated deep understanding of Data and ML tools offered
- Knowledge of the Big Data technology landscape beyond the buzzwords; Experience with big data and analytics programming languages such as Python, R, Spark, NoSQL
- Experience with batch and real-time processing frameworks (Apache Spark, Hadoop, Apache Storm, Apache Kafka, etc.)
- A broad set of technical skills and knowledge across hardware, software, systems, and solutions development
- A proven track record of using quantitative analysis to impact key business or product decisions
- Solid grasp of and experience with implementing and operating software development methodologies
- Exceptional problem-solving skills: demonstrated ability to understand business challenges, structure complex problems, develop solutions
- A solid grasp of common statistical applications and methods (A/B tests and multivariate experiments, probabilities, regression)
- Understanding of Agile Software Development Lifecycle and project planning/execution skills
- Desire to thrive in a constantly innovating and changing environment
- Ability to partner and influence key business stakeholders at all levels of the organization
- Strong skills in team leadership and networking, ability to work across multiple organizations to accomplish diverse goals
- Exceptional presentation, written, and verbal communication skills
- Proven ability to understand the long-term (‘big picture’) and short-term perspective of situations
About Us
TTEC Digital, and our 1,700+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). TTEC Engage is a 60,000+ employee service company, with customers in more than 80 countries. Together, we utilize a holistic approach, applying solutions from two centers of excellence, Engage and Digital.
TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity.
Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications.
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Company: TTEC
Expected salary:
Location: London, ON
Job date: Wed, 26 Oct 2022 04:55:06 GMT
Job Source: Careerjet.ca