About
Leads technology and process implementations to achieve functional technology objectives Directly manages multiple areas with strategic transactional focus Manages multiple stakeholders, complex projects, and large cross-product collaborations Makes decisions that influence teams’ resources, budget, tactical operations, and the execution and implementation of processes and procedures Carries governance accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations Delivers technical solutions that can be leveraged across multiple businesses and domains Influences peer leaders and senior stakeholders across the business, product, and technology teams Champions the firm’s culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills
Formal training or certification on data management concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise. Proven experience in designing and developing large scale data pipelines for batch & stream processing Strong understanding of Data Validation / Data Quality Strong understanding of Data Warehousing, Data Lake, ETL processes and Big Data technologies (e.g Hadoop, Snowflake, Databricks, Apache Spark, PySpark, Airflow, Apache Kafka, Java, Open File & Table Formats, GIT, CI/CD pipelines etc. ) Expertise with public cloud platforms (e.g., AWS, Azure, GCP) and modern data processing & engineering tools Excellent communication, presentation, and interpersonal skills Experience developing or leading large or cross-functional teams of technologists Demonstrated prior experience influencing across highly matrixed, complex organizations and delivering value at scale Experience leading complex projects supporting system design, testing, and operational stability Extensive practical cloud native experience Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills
Experience working at code level and ability to be hands-on performing PoCs, code reviews Experience in Data Modeling (ability to design Conceptual, Logical and Physical Models, ERDs and proficiency in data modeling software like ERwin) Experience with Data Governance, Data Privacy & Subject Rights, Data Quality & Data Security practices Experience with supporting large scale AI/ML Data requirements Experience in Data visualization & BI tools is a huge plus
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Languages
- English
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