Enterprise Data Strategy - Pharma Ref.

For Global Pharma Company we are looking for a Mid Data Strategy in Enterprise area.

JOB PURPOSE

This role will:

Act as an expert and business translator developing and refining the company's data strategy, aligning it with business objectives and regulatory requirements.
Orchestrate the establishment and maintenance of data governance policies, procedures, and standards to ensure data quality, security, and compliance.
Engage with cross-functional teams and stakeholders to understand their data needs and translate these requirements into actionable projects and strategies, with an incremental-delivery approach (MVP).
Help the organization in defining and prioritizing Business Use Cases and in the definition of the Data and Tech roadmap to answer them.
Participate in managing data integration efforts, including the consolidation of data from various sources, and work to create a single source of truth for critical business data.
Drive a culture of continuous improvement within the data management and analytics functions, implementing best practices, tools, and methodologies.
Set the guidance for advanced data architecture (such as DataLake) and for Analytics Framework inside the organization.
Spread Data Culture pills into the organization, helping in organizing training to foster the data-driven approach.

RESPONSIBILITIES

Identify business needs and develop data-driven strategies at the enterprise level, aligned with the company's goals.
Work closely with the leadership team and with different Data Domains (such as Commercial, IBO, Supply Chain, HR, Medical, and R&D).
Work closely with Data Architect in order to ensure the best technology platform, according to enterprise business needs
Collaborate with cross-functional teams to ensure that data strategies are aligned with business objectives.
Work with IT in order to ensure the readiness and robustness of the designed tech solution in order to put in action the data strategy
Develop and maintain data governance policies and procedures.
Ensure data quality and accuracy across all domains.
Act as coordinator for the enterprise transformation program.
Identify opportunities for data-driven innovation and growth.
Stay up-to-date with emerging trends and technologies in data management and analytics.

JOB REQUIREMENTS

ACADEMIC & PROFESSIONAL EXPERIENCES