Senior Manager Machine Learning Engineering

Job Family

Information Technology

Career Stream

IT Operations

Leadership Pipeline

Manage Managers

Job Purpose

To manage a team and portfolio of data science projects with a focus on Machine Learning (ML) Engineering through multiple squads with a medium-term strategic horizon.

Job Responsibilities

• Define, grow and lead a team of Data Scientists and ML Engineers at any proficiency levels.
• Discover areas within Nedbank group that can be automated through machine learning.
• Demonstrated technical knowledge of Machine Learning (Supervised and Unsupervised learning, Deep Learning, Natural Language Processing, and Reinforcement learning).
• Understand the business reality behind large sets of data and develop meaningful solutions comprising analytics.
• Work closely with internal stakeholders like business teams, engineering teams, and partner teams to align with respect to your focus area.
• Innovate by adapting new Machine Learning modeling techniques and procedures.
• Passionate about working with disparate and large datasets to answer business questions.
• Exposure to implementing and operating stable, scalable analytical solutions from production systems into end-user facing applications/reports.
• Experience in dealing with data from various sources and message streams and constructing complex analyses.
• Detail-oriented with an aptitude for solving unstructured problems.
• Excellent business and communication skills to work with business owners to develop and define key business questions.
• Manage Financial and Business Results, ensuring all individual and department results are delivered within budget and deadlines.
• Ensure budget targets are met by effectively executing and complying with Divisional billing requirements.
• Ensure quality projects/processes/systems are delivered on time and fully aligned to Nedbank's business requirements.
• Manage Stakeholder Relationships and ensure services meet client expectations and Nedbank standards.

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees
• Matric / Grade 12 / National Senior Certificate

Preferred Qualification

• Tertiary Qualification/formal accreditation in a STEM-related field.
• BSc Computer Science, BSc Engineering, Econometrics, Mathematical Statistics, Actuary Science.
• Masters or Doctorate will be an added advantage.
• Postgraduate management qualification.
• MBA.

Essential Certifications

• ITIL Talent nurturing or equivalent MMP/SMP/MM or equivalent.

Minimum Experience Level

• Minimum 6 to 8 years Data Science experience with 1-2 years management experience.

Technical / Professional Knowledge

• Deep understanding of Machine Learning, Statistics, Optimization, or related field.
• Experience in Python (Must), R, and one additional language (SAS, Java, Lua, Clojure, Scala, etc).
• Experience working with large data sets, simulation/optimization, and distributed computing tools (Spark, RAY, etc.).
• Experience in end-to-end Use case delivery.
• Ability to translate data narrative to business narrative.
• Excellent written and verbal communication skills along with a strong desire to work in cross-functional teams.

Behavioural Competencies

• Building Partnerships
• Facilitating Change
• Inspiring others
• Business Acumen
• Driving for Results
• Selecting Talent