Head of Data Technology Delivery

at  Link Group

EXPERIENCE & PERSONAL ATTRIBUTES

• A minimum of 10 years’ experience as a Head of Data within a business working on data delivery for enterprise client.
• Experience in Snowflake
• Have a view on the future of data trends with Insurance and Superannuation.
• Ideally experience in the Superannuation Industry or at a minimum the financial services industry.
• Strong interpersonal skills to engage with people at all levels of the organisation and build strong relationships and trust with clients and internal stakeholders.
• Highly effective communication, collaboration and influencing skills.
• Strong business acumen and experience in managing financials and budgets.
• Strong leadership skills with a focus on coaching and developing teams.
• Able to communicate a compelling vision and purpose to broader team.Relevant tertiary qualification.
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• SOME OF OUR EMPLOYMENT BENEFITSFlexiWorks – enabling our employees to work in the office and at home

• Purchased Leave, Parental Leave, Volunteer Leave, Gender transition leave, Well-being leave
• Employee Recognition Program - to recognise people who are demonstrating our values and Company purpose.
• Talent Referral Program
• Salary Sacrificing via Superannuation
• Employee Assistance Program
• Learning & Development - Development at your fingertips via self-paced learning, including educational assistance support
• Employee discounts – Access discounted rates and offers from a variety of providers including Bupa and Microsoft!Novated Car Leasing

THE ROLE

Reporting to the Technology Director of Retirement Solutions business, this role is accountable for the full end to end management and leadership of the business data technology platforms including all Build(development) and Run (Operations). The role is also responsible for the remediation of all client and other related incidents, both internal and external audit findings and corrective actions applicable to the domain.
Reporting to the Technology Director, this role will continue definition of and execute the Data Technology Delivery Strategy within the business, formulating the roadmap for the delivery of market leading solutions to the superannuation industry and to the Retirement Solutions business internally.
Key stakeholders include the Retirement Solutions Senior Leadership Team, Client Partnership Teams, Clients, Client Solutions Teams, Technology Delivery Staff and Retirement Solutions Risk

KEY ACCOUNTABILITIES AND MAIN RESPONSIBILITIES

Strategic Focus

• Define and execute the Data Technology Delivery Strategy within Retirement Solutions, working closely with key stakeholders and external clients.
• Develop best in class data and analytics capabilities across the group on the MUFG Pension & Market Services data platforms.
• Define and execute a 3-year data delivery road map to agreed budget and timescales including realisation and measurement of benefits.
• Manage and optimize global capacity and technology data delivery at scale across all data platforms including decommissioning of deprecated platforms.
• Provide thought leadership on the value and delivery of data within the Superannuation industry.
• Identify, screen, and evaluate new data solution opportunities to generate maximum value for the clients and MUFG Pension & Market Services.
• Consistently seek opportunities for continuous improvement and innovation across the data domain
• Lead the communities of practise in data enablement for all delivery domains including Core and Digital
• Leadership to the business and stakeholders on the value of business data enablement and use of data science and analytics
• Client engagement where required to share the MUFG RS Data strategy and ongoing initiatives

Operational Management

• Develop and cultivate close working relationships with internal stakeholders and external clients including the Data team, the Product team, Service Experience, and other internal data stakeholders.
• Regularly seek feedback from our stakeholders and external clients on our roadmap and service and provide insights and actions to continuously innovate and improve.
• Work collaboratively with cross functional teams driving projects from ideation to launch.
• Provide Data Technology SME consulting to the business and external clients.
• Communicate technical concepts to our clients in a simple manner.
• Daily management of the data platforms within acceptable service levels
• Management and resolutions of all data incidents including on weekends.
• Management and resolution of all data audit and corrective actions and ensure that this is a downward trend including aged incidents.
• Identification of tech debt and development of appropriate remediation programs

Reporting

• Provide accurate and timely reporting:
• Cadence of data development
• Data roadmap development and execution
• Delivery of client implementations on time
• Data security and privacy
• Interpreting future data trends into action
• Provide valuable insight and analysis on our data product performance so standards can be improved and streamlined.

People Leadership

• Support change within the MUFG Retirement Solutions Data Technology Team, providing direction, guidance and support to the people who are implementing change and those having to adapt to change.
• Focus on leadership and professional development of the direct team.
• Support a strong Customer First service culture and uphold organisation’s values while driving a high performance, innovative culture in the Team.
• Embed MUFG Pension & Market Services purpose and values in people management and operating practices.
• Act on MUFG Pension & Market Services Listen staff feedback.
• Drive activities to support the MUFG Pension & Market Services diversity and inclusion objectives.
• Forecast resourcing requirements of the Team, to enable delivery against service levels and to build team capability.

Governance & Risk

• Ensure key performance indicators are measured, analysed, and accurately reported to stakeholders for incidents of all priorities.
• Take a lead on the management of risk, dependencies and issues associated with tech delivery.
• Manage audit requirements and any associated actions.

Innovation

• Create a mindset and culture of innovation in the Data Technology team.
• Measurement of innovation initiatives with benefit realisation in the Data Domain.