Human Capital Partners (HCP) is a professional services firm specialising in the provision of professional services covering the entire spectrum of the Human Resources function. HCP is the successor firm of the erstwhile Executive Selection and Training Services group of KPMG in Nigeria. The Group existed as the Executive Selection unit within Arthur Andersen Nigeria and in 2002, became KPMG Nigeria’s Executive Selection & Training Services Group. The practice was established as an independent entity in July 2011. Human Capital Partners is a member of the International People Services Network, a network of independent but collaborating ex-KPMG firms operating globally and is registered with the Chartered Institute of Personnel Management of Nigeria, The Nigerian Institute of Training and Development, and the Centre for Management Development (CMD) Lagos, Nigeria.
Responsibilities:
Your responsibilities will include:
Strategy:
- Provide technical data & analytics support to the Africa digital transformation team.
- Leverage regional alliances with technology partners (e.g. Microsoft, Oracle, IBM, AWS, Google, etc) to drive proactive leads generation, joint pitch, pipeline management, and conversions as they relate to data analytics.
- Work with relevant functional areas and service lines across the Firm to deliver on client engagement and sales initiatives.
- Leverage local and global company artefacts, SMEs, and other network assets to advance the firm’s data & analytics agenda.
- Manage, coach, and grow the ML engineering and data science team.
- Embed data & AI in everything we do – meaning that you will also be responsible for exploring and improving collaboration with different competencies within the organization.
Client Impact:
- Drive business growth of the Data & Analytics business across Africa through expansion of ML engineering pipeline and wins at leading clients.
- Oversee data management, warehousing, integration, and migration; business intelligence; analytics; and delivery across advisory and technical projects.
- Lead the development and implementation of data and advanced analytics strategies for clients across Africa.
- Develop ML and Deep Learning algorithms that help clients improve their predictive capabilities significantly.
- Design, develop, maintain and improve machine learning algorithms for the clients' products.
- Help clients to employ machine learning principles in making business decisions.
- Test and evaluate machine learning models and algorithms on real-world data sets.
- Collaborate with the Data & Analytics (D&A) team to build data pipelines, implement and train models based on results of experiments.
- Interact with business leaders and functional experts to understand current and future business challenges and needs and help with solutioning.
- Provide subject matter expertise on data-related topics as well as consultative guidance for data management and governance.
- Develop data models that improve processes and add strategic value to the client’s business.
- Stay up to date with industry trends and emerging technologies in data and analytics to ensure we provide clients with the latest and most effective solutions.
- Work closely with clients to understand business needs and develop tailored solutions.
- Strengthen the organization’s share of mind in the D & A space through impactful thought leadership.
Finance:
- Deliver on targets and goals (including sales goals).
- Provide annual budget input for the area of responsibility for approval and integration into service line/ growth area budget.
- Manage the annual budget, including costs for designated area.
Requirements:
Qualifications Experience & Skills.
- You’re a strong candidate if you have:
- Bachelor’s or master’s degree in a relevant field such as computer science, statistics, mathematics, or related fields.
- A minimum of 5 O’ Level credits (including English and Mathematics)
- Minimum of 10 years’ experience in AI and ML engineering with a proven track record of delivering successful projects.
- Deep knowledge of programming languages and frameworks such as Python, Java, C++, R, and SQL.
- Deep hands-on experience with modern Data & AI Platforms such as Azure, AWS or GCP.
- Practical experience with tools like Git/Github for version control, Jenkins for continuous integration, and Docker for containerization.
- Deep understanding of data and analytics technologies, including data warehousing, data integration and data visualization.
- Good understanding of statistics, probability theory, and computer science fundamentals like algorithms and data structures.
- Pre-sales experience with OEMs or consulting experience will be an added advantage.
- Being a self-starter and able to work independently including across multiple priorities and complex matrixed roles and responsibilities.
- Confident, tactful and able to effectively influence others and deal effectively with senior leaders.
- Strong communicator, including listening skills with an ability to translate insights across business and technology teams and to develop and present new ideas and conceptualize new approaches and solutions.
- Strong team and work ethic, comfortable with ambiguity, change and challenge.
- Interested in the bigger picture and able to think broader than own capabilities.
- Ability to connect with the right complimentary people in the organization to tackle new and complex business problems with a data flavour.
- Enthusiastic, driven and proactive.
Method of Application
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