daa- Dublin

Data Product Development & Insights Manager

Job Post Information* : Posted Date 1 month ago(19/03/2024 16:10)
ID
2024-3856

Overview

Daa LABS is committed to leveraging data-driven insights to enhance decision-making and drive business growth. We are seeking a talented and experienced Data Product Development & Insights Manager to join our dynamic team. This individual will play a pivotal role in driving the development of the data strategy and delivering actionable insights that drive strategic initiatives and optimize business performance.

Qualifications

  • Post graduate qualification in a relevant field of study - mathematics, computer science, statistics, operations research, etc.
  • Have at least 6+ years’ experience in analytics roles, preferably dealing with diverse types of data - customer, transactional, operational, etc.
  • Excellent Leadership, Communication, Influencing and Interpersonal skills.
  • Expert data storyteller with an ability to synthesize, communicate and explain complex analytics-derived insights and translate them into actionable recommendations that business stakeholders can execute on.
  • High energy individual and innovative thinker who can see the possibilities of how to use data to approach business problems in new ways.
  • Experience of working with data scientists, to build advanced models and the use cases where they can be applied.
  • Experience of partnering with data engineering teams to deliver technical Data products.
  • Knowledge of advanced analytics techniques (e.g., Predictive Modelling, Segmentations, Analytical Deep Dives, etc).
  • Previous experience managing high performing teams.
  • Results based, with focus on pragmatic delivery for the business.
  • Committed to daa values & leadership standards.

Responsibilities

  • Lead the development the data product vision and strategy to drive business impact from data and analytics.
  • Bring thought leadership, best practice approaches and innovation to deliver real time democratised BI, insight rich, underpinning digital choices, operational decisions, commercial ambition, and business investment.
  • Partner with business stakeholders to identify high value/impact opportunities and to look for new and creative applications of analytics.
  • Define and articulate the team vision, strategy and translate to the Data Science and analytics data product roadmap across the combined enterprise business.
  • Lead a team of data scientists and analysts charged with developing Data products and advanced models leveraging AI & Machine learning.
  • Act as an agent of change, advance data literacy, critical thinking, and a challenger mindset to deliver breakthrough impact at scale across all levels of the organisation.
  • Provide thought leadership in fast moving analytics technology landscape identifying opportunities for innovation and the adoption of new approaches e.g., Gen AI/language learning models.
  • Work with data engineering (Data & MLOps) and BI/data governance teams who are charged with delivering robust, scalable, and reliable data products in a timely and efficient manner.
  • Provide an analytics service to develop insights into complex business challenges across a broad range of use cases.
  • Manage & lead team members providing direction, guidance and thought leadership of analytical projects.
  • Possess and instil a sense of curiosity and collaboration in team members.
  • Influence the broader technology teams and landscape to ensure new technology is future proofed to take advantage of the latest developments in analytics.

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