Posted on 2021-10-11

Senior Manager, Data & Analytics

Novus Precision Partners


Principal responsibilities

  • Reporting to the Chief Data & Architecture Officer of HASE and support DAO to drive the data strategy in the Bank
  • Creating value from business driven data and analytics initiatives. Support the business and other stakeholders in their data-driven objectives. This means they will support the business during various stages. In the inspiration phase they help the business in identifying the right use cases and support prioritization based on feasibility and value. In the ideation phase they help with the development of a minimum viable product and business case. During the implementation phase they make sure the service or product is adopted (by the employees), embedded in the workflow (process) and measured for impact.
  • Support to raise the level of data literacy in the organization. To become data driven the organization needs employees who can “speak data." Data literacy is defined as “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied, and the ability to describe the use-case application and resulting value." Activities include the education and coaching of the employees to become more “data-savvy" and facilitating data-centric business thinking.
  • Helps uncover and translate business requirements and needs. To translate business requirement to Data Scientists in moving from Value and Information to Analytics. The role requires to understand of both the business objectives, goals, and domain expertise, as well as D&A concepts, methods, and techniques. It also requires strong soft skills with a focus on communication.
  • This role doesn't focus on supporting the delivery D&A services and products, but on facilitating data driven change and creating business value through D&A. The role supports data governance (stewardship best practices), but that is not their primary responsibility.
  • Assist to build the target supporting model for data analytics.


  • University degree in related disciplines, including Mathematics, Statistics, Computer Science, Quant Finance, and Actuarial Science.
  • 5+ years' professional experience in data analytics, data science, machine learning, and AI, including at 2+ years in project management or coaching.

Soft skills

This role needs to be highly proficient in soft skills:

  • Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable.
  • Facilitation, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation.
  • Creative thinking, for example framing new concepts that spur use case ideation for business participants and brainstorming with business users about future product and services.
  • Teamwork, for example working with both business domain teams as well as D&A teams and IT staff.
  • Collaboration, for example fostering group problem solving and solution creation with business and technical team members.
  • Storytelling, for example by creating a consistent storyline for better understanding and raising literacy.
  • Presentation, for example comfort with public speaking and the ability to creatively and concisely express idea to business and technical audiences.

Data & analytics skills

This role needs to have a good understanding of the concepts, methods and techniques used:

  • Analytics & AI, for example diagnostic, descriptive, predictive and prescriptive, machine learning, natural language processing.
  • Data management, for example data integration (ETL) or metadata.
  • Data architecture, for example the difference between data warehouse, data lake or data hub.
  • Data structures, for example structured, semi-structured and unstructured data.
  • Data governance, for example MDM, data quality and data stewardship practices.
  • Statistical skills, for example understanding the difference between correlation and causation.

Technology skills

This role needs to have a basic understanding of the tools and technologies in the D&A team:

  • Programming languages - SQL, Python or R and notebooks like R Studio or Jupyter.
  • Data integration tools - Google Cloud Platform's Dataflow, Dataproc
  • Analytics and Business Intelligence tools - Tableau or QlikSense

Domain skills

This role needs to have a good understanding of the business process and associated data:

  • Business Acumen, for example understanding business concepts, practices and business domain language to engage in problem solving sessions and discuss business issues in stakeholder language.
  • Business data, for example the structure, ownership and use within an organization (Call detail records in call centre, point of sales in merchant pos, etc.).

Other skills

This role needs to have a basic understanding of generic methods and techniques such as:

  • Project management capabilities, for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities. For this the role can collaborate with project managers.
  • Business case development, for example to help develop support for the experimenting selected use cases or measure the impact/business value created. For this the role can collaborate with business analysts.
  • Decision modelling, for example, supports decision makers and improves complicated decisions that involve trade-offs among alternative courses of action by using decision-problem models. For this the role can collaborate with decision engineers.
  • UX/design, for example by creating products and visualizations that are easy to work with and support the activities required by the end users. For this the role can collaborate with the design team

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More job information
Job Function
Employment Term
  • Permanent
  • Full-time
  • 5 years - 10 years
Career Level
  • Middle management level
  • Degree