Senior Manager, Enterprise Data Strategy and

The Senior Manager, Enterprise Data Strategy and Digital Transformation is an organizational leader with a passion for data and analysis who has a clear vision for how data can transform company strategy. The role requires hands-on leadership necessary to grow a team through the start-up phase into a mature organization. The Senior Manager, Enterprise Data Strategy and Digital Transformation is responsible for scaling the data function in an environment based primarily on cloud-based SaaS systems. The Senior Manager must consider global operations and be able to manage a remote, geographically dispersed team. The Senior Manager ensures that the organization always approaches work with the goal of continuous improvement.

**Responsibilities**
- Drive the Digital transformation agenda and ensure a robust change management strategy
- Develop a roadmap for the data and analytics function that clearly defines ownership and responsibility between the central data function and the functional groups or Centre of Excellence (CoE).
- Drive the scope and effectiveness of the data and analysis function in the organization.
- Ensure the Company’s cloud and on-premise data is centralized into a single data lake and modeled to support data analysis requirements from all functional groups of the Company.
- Create a common data framework so that all company data can be analysed in a unified manner.
- Work with the product, operations, and executive management teams to create a data-enabled user journey.
- Create and execute a plan to develop and mature our ability to measure and optimize usage growth, mapped to our user journey.
- Ensure that all transactional systems can communicate with the data warehouse and that production data adhere to a unified data model.
- Ensure internal initiatives ahead to governance, master data management and meta data management principles by design
- Collaborate with all functions of the company to ensure data needs are addressed and the required data is modeled and available to analysts and end-users.
- Build a multi-modal service model that meets the non-homogeneous needs of our functional groups - Full-service to Self-Service, and across our data stack.
- This position works closely with the C-suite to develop an organization plan that addresses company-wide analytic resources in either a direct report or matrix model.
- Be an advocate of data and drive enterprise-wide data literacy programs and ensure learning and development is a part of the organizations culture.
- Guide and mentor new team members and develop leaders within the data and digital with in the organization to accelerate the growth.

**Requirements**:

- Postgraduate work or equivalent experience (Masters or PhD) in a quantitative field such as math, physics, computer science, statistics etc.
- Minimum of 5 years’ experience in a senior leadership position managing an analytics team or consulting experience.
- Experience with a high growth company using on-premises tools and on-demand (SaaS) transactional systems.
- Hands on experience with Python, SQL and relational databases. Experience with Snowflake is a plus.
- Good familiarity with data governance, master data and meta data management.
- Have previously led a corporate data platform project.
- Experience with open-source data & analytics tools.
- Experience working with multiple executive level business stake holders.
- Must have experience with analytic and data visualization tools.
- Share and work in accordance with our values.
- Must be able to work in alignment with America’s time zones.