Manager, Data and Machine Engineering

About Outseer

At Outseer we are empowering our customers to liberate the world from digital fraud. Our market-leading enterprise fraud and authentication platform is used by thousands of financial institutions around the world to protect millions of customer accounts and billions of transactions annually. Leveraging proven data science, including our proprietary consortium data, our customers use our risk-based, machine learning platform to deliver the highest fraud detection rates, lowest false positive rates, and lowest customer intervention in the industry. We stop fraud, not customers. See what others can’t at outseer.com.

What you’ll achieve:

Manager, Data Engineering & Machine Learning will lead and inspire our team in building cutting-edge data solutions.  As a leader, you will play a pivotal role in driving data-driven innovation and ensuring the successful execution of our data initiatives.

This role is responsible for leading and mentoring a team of talented data engineers and machine learning specialists. Overseeing the design, development, and maintenance of scalable data pipelines and architectures.  Developing and deploying machine learning models to solve complex business problems.  Managing multiple data projects simultaneously, ensuring timely delivery and adherence to budget constraints. Fostering a collaborative work environment and promoting a culture of data-driven decision-making.

Essential Duties

• Team Leadership: Recruit, hire, and develop a high-performing team of data engineers and machine learning specialists. Provide mentorship and guidance to team members, fostering a collaborative and inclusive work environment. Set clear goals and expectations, ensuring alignment with overall company objectives.
• Data Engineering: Oversee the design, development, and maintenance of scalable and efficient data pipelines and architectures. Implement robust data governance and quality control measures to ensure data integrity. Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
• Machine Learning: Lead the development and deployment of machine learning models to solve complex business problems. Stay up-to-date with the latest advancements in machine learning and artificial intelligence. Collaborate with data scientists to explore new opportunities for leveraging machine learning to drive innovation.
• Project Management: Manage multiple data projects simultaneously, ensuring timely delivery and adherence to budget constraints. Prioritize projects based on business value and technical feasibility. Track project progress, identify risks, and implement mitigation strategies.

Desired Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• 8+ years of experience in data engineering and machine learning roles, with at least 3 years in a management position.
• Proven track record of building and leading high-performing data teams.
• Strong technical skills in data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Deep understanding of machine learning algorithms and techniques (e.g., supervised learning, unsupervised learning, deep learning).
• Experience with data governance and quality control best practices.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
• Strong problem-solving and analytical skills.

Desired Behaviors

• Change Facilitation: Encourages and supports continuous improvement of work practices and processes. Facilitates change by actively seeking opportunities for innovation and sharing ideas with the team.
• Execution Focus: Drives execution by effectively cascading departmental goals into individual goals. Sets high performance standards, communicates clear expectations, resolves problems, provides task clarity, and establishes boundaries.
• Team Management: Holds the team accountable for their performance, utilizing open and honest communication. Takes corrective actions when necessary to ensure compliance and fair treatment. Recognizes and rewards team members for their contributions.
• Motivational Leadership: Keeps the team focused and motivated by facilitating timely decision-making, knowing when to escalate issues, providing regular feedback, and maintaining open lines of communication.
• Technical Proficiency: Possesses a strong understanding of their own role and responsibilities and is familiar with the roles and tasks of team members. Demonstrates technical competence and provides guidance when needed.
• Team Development: Recognizes and understands team members' development needs and aspirations. Assigns tasks and responsibilities that align with their growth and provides coaching and support to help them reach their full potential.
• Effective Communication: Over-communicates by hosting regular team communication such as one-on-one meetings and team meetings. Ensures important and relevant information is cascaded to the team in a timely manner.
• Employee Involvement: Encourages employees to participate in decision-making processes, valuing their ideas and proposed solutions. Creates a culture of open dialogue and collaboration.
• Collaborative Management: Fosters teamwork and empowers employees to deliver their best work. Delegates responsibilities appropriately and trusts team members to take ownership of their tasks.
• Ethical Conduct and Competence: Displays ethical character and competence, earning the trust of others by acting with integrity and intention. Upholds the company's values and principles in all actions.
• Role Modelling: Sets a positive example by demonstrating high levels of commitment and energy. Acts as a role model for the organization's core values and maintains high standards of behaviour. Influences others positively and contributes to a positive work culture at Outseer.

Outseer is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Outseer are based on business needs, job requirements and individual qualifications, without regard to race, colour, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Outseer will not tolerate discrimination or harassment based on any of these characteristics. Outseer encourages applicants of all ages.