Head of Data Engineering

Transcription

1 Head of Data Engineering Business Unit: Lab360 Reporting to: Chief Strategy and Growth Officer Direct Reports: Data engineering team, Platform Administrators, Platform Analysts, Platform Visualisation team (4) Date Created: February 2017 Purpose of the position The Head of Data Engineering is a key technical leadership position within Loyalty NZ Limited (LNZL). The role is responsible for providing vision and leadership to the Loyalty Data engineering and platform teams, and for designing, creating, deploying and managing Loyalty s Data systems and Data products. The role will have strong working relationships with Loyalty NZ s Lab 360 Professional Services team, Data Architect, Chief Technology Officer, Information Security and Risk Manager, Applications Architect, Solutions Architect, Software Development Manager, Infrastructure Manager and Product Managers/Owners to ensure that Data engineering is delivering to the needs of the Business in accordance to defined principles and standards, and in accordance with our strategic plan. Organisational position / Virtual Team The role of the Head of Data Engineering reports directly to the Chief Strategy and Growth Officer and has a very strong working relationship with all the business units at Loyalty NZ. 1

2 Chief Executive Officer Chief Strategy & Growth Officer Head of Products and Innovation Head of Channel Strategy Head of Lab360 Professional Services Head of Data Engineering Senior Product Manager Head of Client Services Data Engineers Senior Product Manager-Data Head of Fly Buys Services Platform Administrators Platform Visualisation Platform Analysts Key Responsibilities 1. Provide leadership, vision and a forward thinking view to Data engineering practises, tools, and technology, and lead the engineering team to successful delivery. Understand the Strategy, Strategic Plan, Platform Plan, Client Plan, Customer plan and their related product, platform and Data Requirements, and be able to articulate this with the engineering team. Provide direction and leadership to the Data engineering team delivering the Data programme for Loyalty NZ. Be a champion for the Data vision and Data Architecture plan. Work with the stakeholders across the organisation to ensure on-going buy in and ownership to effective management of data and data security. Provide subject matter expertise and forward looking views in relation to data technologies, data management, data migration and data practises. Understand the end to end vision for data at Loyalty NZ and be able to lead a Data engineering team to successfully deliver to this. 2. Be responsible for the Technical delivery of data products and the Data programme for Loyalty NZ 2

3 Demonstrate technical leadership with a thorough understanding of Data, Data technologies and data platform development in cloud environments. Champion development methodologies that ensure successful delivery of Loyalty data structures, Products and programmes. Hire, manage and inspire a team of world-class Data engineers and platform engineers for on time and fit for purpose delivery. Secure resources and expertise as required and manage risks to the delivery of the programmes. Continually drive for quality and efficiency across the team. Work closely with Lab Professional Services, Product Owners and Project managers to ensure fit for purpose skills of team members and effective resource allocation. Continually look for tools, technologies and methods to improve the delivery of data and data services provided by the data Engineering team. Be the primary escalation point for issues relating to Data or Data Platforms, both during Data Delivery of projects and post Production deployment. Act as a strong advocate for promoting data management and ensure adoption and adherence of data governance practises. 3. Be responsible for defining standards, processes and work management tools and practises, to ensure efficiency in the Data engineering practise and which is able to be measured. Manage the development of processes, policies, standards and procedures to support data platform development, Project development and Loyalty s Data programme. Ensure adoption and adherence of processes, policies, standards and procedures and act as a strong advocate for these with both team and key stakeholders. Continually look for new tools, technologies, and practises that can produce improvement to current practises, and provide better ways of doing things. Provide input into the Data Governance standards adopted by Loyalty NZ. 4. Lead and manage an effective Data Engineering team Provide coaching support to your immediate team to build their skills, knowledge and capability to perform effectively in their role and to reach their future potential as individuals. Identify and provide training/development opportunities for your team. Work with your team to set, manage and monitor performance objectives for your team in line with KPI requirements and LNZL Corporate objectives. Provide performance management and perform regular performance reviews for your team. Provide leadership to the team by developing and maintaining a challenging and supportive work environment within which they can achieve their objectives and deliver on their established performance expectations. Actively contribute as part of the broader Leadership team and with other Business units to build knowledge, trust and understanding regarding effective data management. 3

4 Invest time to ensure that your personal development is integrated into personal objectives/goals and that your personal development plan is both challenging and reviewed regularly. Advocate and support Data research activity as part of the ongoing development of the Data engineering team. 5. Together with our Security Officer, be responsible for Data Security, ensuring that it is factored in to all aspects of development and usage. Understand PII and NZ privacy legislation and understand what components of Loyalty NZ data are affected by these. Work with the Security Officer and Data Architect to establish Data Security policies. Understand the risks that exist with our data and actively work to own, manage and mitigate these risks. Ensure all aspects of Loyalty NZ data is managed and used in accordance with Security policies and NZ law. 6. Demonstrate the behaviour and responsibilities required of a leadership role within LNZL. Adhere to corporate governance legislation and requirements, together with company policies. Actively promote and drive vision and values to assist building the desired culture and work environment. Provide exemplarily leadership across the organisation that actively demonstrates and models acceptable and the desired behaviours within the workplace for all staff to adopt. Provide exemplarily leadership and exhibit our values when representing loyalty NZ with our Clients and Business Partners. Health & Safety All of our people have a responsibility for their own and others safety and wellbeing. This includes following all safety and wellbeing procedures and instructions, including reporting hazards, incidents and accidents and participating in safety and wellbeing initiatives and programmes as required. The Loyalty Way 1. Focuses on and contributes towards continuous improvements within the workplace through improving activities and processes to make things Easier, Better, Faster and Cheaper. 2. Contributes towards, and promotes, The Loyalty Way, LNZL s values and the achievement of our desired work environment; specifically an environment that stimulates individual, team and organisational growth and achievements, and encourages our people to think and behave in ways that achieve their goals through co-operative efforts. 3. Establishes and maintains effective relationships: Develops and fosters good proactive working relationships with all internal and external contacts. 4

5 Ensures suppliers of goods and services conform to the standards of business ethics adopted by LNZL. 4. Leads and/or contributes to specific projects. 5. Undertakes additional responsibilities and activities, as and when requested and as mutually agreed with your leader. Physical demands of the role This is not a physically demanding role Most challenging parts of the role 1. The data engineering team will be involved in multiple projects to varying degrees most of the time which challenges the ability to effectively balance the workload across projects. This also creates pressure for ensuring the Data engineering team follow defined processes and adhere to standards. It is imperative that the Head of Data engineering recognises these challenges and is effective in leading the team to success. 2. Ensuring the team, team structure, tools and technology do not stay static but instead are constantly being reviewed and improvements made as necessary. 3. Inspiring and leading the team through this journey. Key Functional Relationships Internal: External: Reports to the Chief Strategy and Growth Officer Collaborates and liaises with Lab360 Professional Services teams Collaborates and liaises with the Data Architect, Applications Architect, Systems Architect, Technical Delivery, Security and Risk and Product Teams. Must have a collaborate and constructive working relationship with every other LNZL Staff member Loyalty Clients Loyalty Business Partners Other external Contractors and Suppliers engaged from time to time, and other Businesses Working environment 1. Open plan layout and moderate amount of noise that goes with it 2. Very little if no travel required 3. Standard office equipment Delegations of Authority Capital Expenditure: $20, within pre-approved Board budget Operational Expenditure: $20, within pre-approved Board budget 5

6 Authorisation to Hire: N/A Authorisation to sign Contracts: N/A Responsible for: Number of Staff: 4 direct reports with team of up to 20 Budget: $0.00 Revenue: $0.00 Appraisal and Performance Criteria Formal appraisal will occur at least annually or more frequently when performance plans are re-negotiated. Performance will be measured against the performance plan negotiated at the beginning of the reporting period and against the other responsibilities identified above. This job is being carried out successfully when all responsibilities are being met. Person specifications Qualifications Essential: Relevant Qualifications in IT/Computer Science Preferred: Experience & Knowledge Essential: Previous experience in a technology engineering development management role with a well-developed understanding of management and leadership activities. 7+ years experience working within the Data Technology domain with a string emphasis on real time solutions, platforms and integration. Familiar with Data Architecture, Data Analysis, Data Integration, Data Modelling and Data Warehousing A strong desire to establish standards, processes, policies of best practise Understanding of various Analytical and Database technologies including emerging technologies like columnar and Nosql databases, predictive analysis, data visualisation, machine learning and unstructured data Strong understanding of cloud computing, cloud providers (AWS, Azure etc) and Cloud Data Technologies Understanding of Restful Architectures Understanding of PII and Data Security Proven ability to communicate, work with and inspire Technical engineering teams Strong Business and communication skills 6

7 Excellent organisational, prioritisation and time management skills Ability to understand and portray the big picture, and to influence projects to close the gap between current state and future state. Proven ability to effectively manage teams to grow, change and adopt new ways of working and tools. Broad based information technology experience and foundation in Systems development (eg: languages, methods, Development lifecycle, Project management approaches etc) Proven ability to translate complex and technical information into information easily understood by non-technical staff and clients. Financially astute and profits/achievements driven with good panning and organisational skills. Demonstrated experience of building data capabilities in an organisation Preferred: Understanding of Open source development, tools and technologies and Restful Integration. Understanding of Big Data Platforms and technology components. Understanding of Loyalty Business concepts Skills The ideal appointee should have a high level of the following skills: Interpersonal skills and the ability to negotiate and influence Passionate about data. Able to emphasise methodology, modelling and governance Technology and politically neutral Articulate, persuasive and enthusiastic Project management skills and the ability to meet deadlines Ability to manage a heavy workload Analytical, conceptual, problem solving, decisiveness and strategic thinking Team-Oriented and collaborative approach Personal Attributes The ideal appointee should be able to demonstrate: A results oriented person who is passionate about building high calibre performing teams and committed to high standards Comfortable speaking with both technical and non-technical audiences, and able to adjust language to suit A proactive and open minded consultative approach Effective influencing skills and a high level of technical and team leadership skills Forward thinking and forward planning person Ability to play to the strengths of the team and to identify and improve the weaknesses A desire to coach, mentor and build effective technical teams Organised Comfortable with sometimes ambiguous and unstructured environments and can seek clarity and bring structure to a problem. 7

8 Ability to balance multiple projects, often with simultaneous and competing deadlines Excited by new technologies and a desire to learn new things Familiar with best practises and able to implement standards and processes accordingly The ability to work effectively with an eclectic group of people from a variety of backgrounds An enquiring mind. Be curious. Integrity, loyalty to the organisation and a commitment to organisational objectives. Initiative, judgement and ability to creatively solve problems. Be detail conscious. Ability to work under pressure with an achievement focus. Enthusiasm, a thirst for learning and self-development. 8