Enterprise Data Strategist

Data Management Consultant
ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people.

We have a team of experts who shape life-changing solutions for patients, caregivers, and consumers worldwide. We partner collaboratively with clients to develop custom solutions and technology products that create value and deliver results across critical areas of their business.

We believe that our people's personal interests, identities, and desire to learn are part of their success here. Our diversity, equity, and inclusion efforts and the networks we support help ZSers cultivate community spaces, obtain resources they need to thrive, and share messages they are passionate about.

Key Responsibilities:

• Develop an enterprise data management strategy aligned with business process, focusing on data models, designs, database development standards, and data management frameworks.
• Maintain data management and governance frameworks to ensure data quality, consistency, and compliance for different domains.
• Design scalable cloud-based solutions following enterprise standards.
• Develop robust data models for semi-structured/structured datasets by following various modeling techniques.
• Implement complex ETL data pipelines to handle various semi-structured/structured datasets coming from labs and scientific platforms.
• Work with lab ecosystems (ELNs, LIMS, CDS etc) to build integration and data solutions around them.
• Collaborate with stakeholders, including data scientists, researchers, and IT, to optimize data utilization and align data strategies with organizational goals.
• Stay abreast of the latest trends in data management technologies and introduce innovative approaches to data analysis and pipeline development.

Requirements:

• Minimum 7+ years of hands-on experience in developing data management solutions solving problems in Discovery/Research domain.
• Advanced knowledge of data management tools and frameworks, such as SQL/NoSQL, ETL/ELT tools, and data visualization tools across various private clouds.
• Strong experience in following: cloud-based DBMS/Data warehouse offerings, ETL tools, and well-versed with different cloud computing offerings in AWS and Azure.
• Familiarity with industry-followed data security and governance norms.
• Hands-on experience with data platforms technologies like Databricks, AWS, Snowflake, HPC.
• Strong programming skills in languages such as Python, R.
• Strong organizational and leadership skills.

Preferred Requirements:

• MLOps expertise leveraging ML platforms like Dataiku, Databricks, Sagemaker.
• Experience with other technologies like Data Sharing, Data Virtualization, API Management.
• Cloud Solution Architect certification (like AWS SA Professional or others).

We offer a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth, and professional development. Our robust skills development programs, multiple career progression options, and internal mobility paths empower you to thrive as an individual and global team member.

Travel is a requirement at ZS for client-facing ZSers. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.

We strive to build a diverse and inclusive company where people bring their passions to inspire life-changing impact and deliver better outcomes for all. We recognize the value that candidates with all backgrounds, including non-traditional ones, bring.

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