Data Solutions Architect at Trontier Limited

Trontier Limited is an innovative Frontier Technologies company that harnesses the power of AI and IoT technologies to provide digitalization services that meetdata-driven and automation needs. We help uncover patterns in raw data, gain insights and use them to make informed decisions. With novel AI technologies, we design solutions that will filter through the massive pool of data to automatically identify and extract meaningful information for faster and smarter decision-making. Our solutions use AI to improve KPIs, gain new market intelligence and predict future outcomes.

We are recruiting to fill the position below:

Job Title: Data Solutions Architect

Location: Nigeria
Working Hours: Highly flexible and autonomous, but availability needed between 9am and 6pm
Start Date: January 2023

About the Role

• As a Data Solutions Architect at Trontier you will define and design complex IT and digital solutions, inspire high-performing teams, and provide our clients with products of exceptional quality and value.
• With your extensive technical knowledge, you will be able to direct the creation of our solutions and represent your team and stakeholders in meetings pertaining to the project. This will enable you to direct the team's technical vision and direction and assist them as necessary in making technical decisions.
• Additionally, you will be well-versed in data analytics and have practical experience using it to drive data-driven project components.
• In addition to having the ability to collaborate with important senior stakeholders, you must be skilled at developing and maintaining client relationships.

Key Responsibilities

• Set the technical vision and shape the outcomes of the project by defining technical architecture.
• Collate technical and functional requirements through workshops with senior stakeholders
• Translate customer needs and business requirements into technical proposals and working to scope and define work for our delivery teams.
• Build and nurture client relationships and advise and influence key stakeholders at all levels of an organization including Executive and C-level.
• Achieve company objectives through effective planning, setting goals, analysing performance data, and projecting future performance.
• Analyse current business practice, processes, and procedures as well as identifying future business opportunities for leveraging Data & Analytics solutions on various platforms.
• Develop Data & Analytics solution proposals that provide details of project scope, approach, deliverables, project timeline, risks, assumptions, and pricing estimates.
• Provide architectural and technical expertise to sales, training, project, and other analytics teams.
• Hire and oversee the technical delivery team including data analysts, data engineers, data scientists and BI developers.
• Perform project management activities such as forecasting, resource and budget management and tracking key project metrics.
• Work on short to medium term commercial and non-commercial research and data projects, to include data scoping, collection/ procurement, analysis, visualisation, interpretation and writing up.
• Develop processes and simple data pipelines to improve reporting efficiencies.

Candidate Requirements

• Candidates should possess a Bachelor's Degree.
• Experience of managing successful technology-driven projects and delivering digital transformation programmes.
• Experience within an internal or external client-facing consultancy role.
• Experience in programme/project management, with a track-record of reliable, consistent high-quality delivery.
• Experience in managing programme governance, risk, and reporting processes, both internal and client-facing.
• A proven technical lead/architect track-record, designing and delivering complex IT and Digital solutions.
• Ability to produce client ready solution architecture, business understandable presentations and good communication skills to lead and run workshops
• Ability to estimate complexity, effort and cost
• Hands-on experience and proficiency in data manipulation tools such as Python, SQL, PowerBI, advanced Excel and tableau. Experience in statistical modelling or machine learning is a plus
• Highly experienced with data and statistics management with the ability to work with a range of data from official statistics, to web data (and everything in between)
• Ability to critically interpret, evaluate and consolidate information into written research reports with the ability to explain complex process to people who aren't experts.
• Highly developed understanding of data science, and statistical methods.

Work Conditions:

• Must have stable internet connection, power supply and laptop.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online