Director: HRis Data Product Owner - Johannesburg, South Africa - NTT Ltd.

NTT Ltd.

Verified Company

Johannesburg, South Africa

1 week ago

Posted by:

Thabo Mthembu

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Description

NTT is a leading global IT solutions and services organisation that brings together people, data and things to create a better and more sustainable future.

In today's 'iNTTerconnected' world, connections matter more now than ever.

By bringing together talented people, world-class technology partners and emerging innovators, we help our clients solve some of the world's most significant technological, business and societal challenges.

With people at the heart of our success, NTT is committed to attracting and growing the best talent and providing an environment where everyone feels they can belong and their contribution matters.

Want to be a part of our team?

Directs the activities of an HRIS Data team responsible for the design, development, programming methods, processes and systems to consolidate and analyse structured and unstructured data sources to generate actionable insights and solutions for HR users across the company.

Oversees the development of software programs, algorithms and automated processes that cleanse, integrate and evaluate data sets from multiple disparate sources.

Identifies and communicates to stakeholders, meaningful, actionable insights from data and metadata sources. Selects, develops, and evaluates personnel ensuring the efficient operation of the function.

Working at NTT
HRIS Data Product Owner is a people management role responsible for operationally managing Data Modelling and Analysis for HRIS.

In addition to managing a team, this role will drive the adoption of HR Data Modelling and analytics within NTT Ltd.

The primary responsibility of this job is to ensure data-driven solutions that add HR business value using statistical models, machine learning algorithms, data mining, and visualization techniques are created and delivered.

Key roles and responsibilities:

Operationally manage a team of HR Data Analysts to ensure achievement of team objectives/KPIs
Collaborates with business stakeholders to identify opportunities for leveraging data to drive HR business solutions
Research, design, implement and deploy scalable HR data analytics vision and machine learning solutions to challenge complex business issues
Extends company's data with third party sources of information when needed
Enhances data collection procedures to include HR information that is relevant for building analytic systems
Processes, cleanses, and verifies the integrity of data used for analysis, and building algorithms necessary to find meaningful answers
Performs analysis using programming languages or statistical packages such as Python and R etc.
Mines and analyzes data to drive optimization and improvement of HR business strategy
Creatively visualizes and effectively communicates results of data analysis, insights, and ideas in a variety of formats to key decisionmakers within the business
Takes ideas to successful launch by leading and mentoring diverse, geodistributed teams through innovation, bootstrapping, pilot, production, scaling, and maintenance phases with multiple stakeholders to the highest levels of quality and performance
Develops SQL Queries for reports and dashboards
Analyzes relational and transactional databases to provide data analysis, and present results in a clear manner
Creates documentation around processes and procedures and manage code reviews
Applies industry standards best practices to development activities
Works on data set to ensure solutions are successfully executed, within agreed upon time frames
Continuously ensure team remains abreast of latest technology and tools in the area of data science

Knowledge, skills and attributes:

Subject matter expertise in data modelling
Theoretical understanding of statistical methods and machine learning techniques
Ability to thrive in a dynamic, fastpaced environment
Excellent quantitative and qualitative analysis skills
Strong desire to acquire more knowledge to keep up to speed with the everevolving field of data science
Strong curiosity to sift through data to find answers and more insights
Solid understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face
Ability to translate technical findings clearly and fluently to nontechnical team business stakeholders to enable informed decisionmaking
Ability to create a storyline around the data to make it easy to interpret and understand
Theoretical understanding of statistical methods and machine learning techniques
Selfdriven and able to work independently, yet acts as a team player
Strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
Ability to think strategically about how to use data to drive competitive advantages
Excellent leadership skills