Job Description:
Strategic Leadership:
• Develop and implement the strategic vision for the data analytics platform, ensuring alignment with organizational goals and objectives.
• Lead the design, development, and maintenance of a robust cloud data platform architecture, leveraging Databricks Lakehouse, AI, and ML technologies.
• Oversee the creation and promulgation of blueprints, roadmaps, and reference architectures for the data analytics infrastructure and services.
Program and Project Management:
• Manage a portfolio of data analytics projects, ensuring they are delivered on time, within scope, and budget.
• Coordinate cross-functional teams, including business leads, system owners, architects, engineers, and external vendors to deliver high-impact solutions.
• Implement robust project management practices, including risk management, stakeholder engagement, and performance tracking.
Technical Expertise:
• Provide expert guidance on data warehouse solutions, advanced analytics, data modeling, and the implementation of Databricks Lakehouse.
• Enhance cloud capabilities by developing and implementing cloud application patterns, automating cloud services using infrastructure as code (IaC) tools such as CloudFormation and Terraform.
• Oversee the integration of diverse data sources, ensuring data quality and consistency, and facilitate the transformation of data into actionable insights through AI and ML models.
• Architect and implement scalable and resilient data pipelines, ensuring efficient data ingestion, processing, and storage in a cloud environment.
• Utilize modern cloud application architectures, including microservices, containerization, and serverless computing, to optimize performance and cost-efficiency.
Compliance and Best Practices:
• Ensure compliance with industry standards, regulatory requirements, and best practices in cloud security, data governance, and access control.
• Monitor and audit cloud resources to ensure they adhere to security guardrails and best practices.
• Develop and enforce policies and procedures for data management, ensuring the integrity and confidentiality of sensitive data.
Innovation and Continuous Improvement:
• Stay abreast of emerging technologies and trends in data analytics, cloud computing, AI, and ML.
• Drive innovation by researching and proposing new tools, methodologies, and frameworks to enhance data analytics capabilities.
• Foster a culture of continuous improvement, encouraging team members to develop new skills and approaches to problem-solving.
Requirements:
• Degree/Master’s in Computer Science, Information Technology, Computer Engineering, or equivalent.
• Minimum of 10 years of experience in data analytics, with at least 5 years in a leadership role managing large-scale data analytics projects.
• Proven experience with AWS cloud services, including setting up and managing cloud infrastructure, and deep expertise in Databricks Lakehouse and AI/ML technologies.
Technical Skills:
• Proficiency in databases (e.g., Oracle, MS SQL, MySQL, Teradata, Databricks), data repositories (e.g., data lakes, data marts).
• Experience in data modeling, data transformation, and statistical computing (e.g., R, Python).
• Deep understanding of machine learning (MLOps), data visualization (e.g., Power BI, Tableau), and event-driven architecture.
• Expertise in cloud-native technologies and services, including microservices, serverless computing, and containerization (e.g., Docker, Kubernetes).
• Strong knowledge of cloud data platforms, including architecture design, data integration, and the implementation of scalable data pipelines.
Leadership and Management Skills:
• Strong leadership abilities with a track record of managing high-performing teams and complex projects.
• Excellent program and project management skills, including the ability to prioritize tasks, manage resources, and meet deadlines.
• Strong interpersonal and communication skills, with the ability to engage and influence stakeholders at all levels.
Certifications:
• AWS Cloud Practitioner or AWS Architect certification.
• Databricks Certified Data Engineer Associate or Professional certification is a plus.
• Project Management Professional (PMP) or similar certification is highly desirable.
Additional Preferred Qualifications:
• Familiarity with healthcare informatics and data governance in the healthcare sector.
• Experience interacting with analytics stakeholders, including clinicians, policy makers, and economists.
Work Environment:
• Dynamic and collaborative work environment with opportunities to work on cutting-edge projects that impact public health and administration and opportunities for professional growth and development within a leading healthcare IT organization.
