Fidelity Investments
Director, Data Architect
Fidelity Investments, Smithfield, Rhode Island, us, 02917
Job Description:The Role
Fidelity Workplace Investing (WI) is seeking an experienced architect in Data & AI/ML Architecture group to support Personalization and Experimentation product area. Personalization, a key pillar of our Digital Strategy, uses industry leading platforms to deliver experiment-based, algorithm and AI/ML driven experiences to customers to help achieve their financial and health wellness objectives. You will be working across business units and Enterprise Technology teams partnering with business leaders, architecture, and engineering to influence our core and common strategy and deliver these foundational capabilities.
The Expertise and Skills You Bring
Education – Bachelors or Masters degree required.
10+ years of professional technology experience with a minimum 5+ years of architecture experience in Data, Analytics, and AI/ML space.
Ability to formulate Data & AI/ML Strategy, Conceptual Architecture and work with development teams to execute the strategy.
Good understanding of Data Modeling concepts including 3rd normal form and dimensional modeling.
Experience with data management practice including data integration, data security, data warehousing, data analytics, metadata management, and data quality.
Experience in building prototypes, driving Pilot and PoCs, and exploring new solutions.
Experience working on low latency NoSql databases such as DynamoDB, Aerospike, Redis and Cloud databases such as Snowflake.
Experience developing enterprise solutions using Spark (AWS EMR, Azure Synapse, DataBricks).
Experience in designing, testing, and deploying machine learning frameworks to rapidly iterate on model development & deployment.
Experience developing enterprise applications and data solutions in the cloud – Azure/AWS.
Experience working with data engineers and data scientists to implement AI/ML models and deploying them on ML platform AWS Sagemaker.
Excellent communication and facilitation skills with ability to communicate complex designs and solutions to non-technical and highly technical audiences alike.
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Fidelity Workplace Investing (WI) is seeking an experienced architect in Data & AI/ML Architecture group to support Personalization and Experimentation product area. Personalization, a key pillar of our Digital Strategy, uses industry leading platforms to deliver experiment-based, algorithm and AI/ML driven experiences to customers to help achieve their financial and health wellness objectives. You will be working across business units and Enterprise Technology teams partnering with business leaders, architecture, and engineering to influence our core and common strategy and deliver these foundational capabilities.
The Expertise and Skills You Bring
Education – Bachelors or Masters degree required.
10+ years of professional technology experience with a minimum 5+ years of architecture experience in Data, Analytics, and AI/ML space.
Ability to formulate Data & AI/ML Strategy, Conceptual Architecture and work with development teams to execute the strategy.
Good understanding of Data Modeling concepts including 3rd normal form and dimensional modeling.
Experience with data management practice including data integration, data security, data warehousing, data analytics, metadata management, and data quality.
Experience in building prototypes, driving Pilot and PoCs, and exploring new solutions.
Experience working on low latency NoSql databases such as DynamoDB, Aerospike, Redis and Cloud databases such as Snowflake.
Experience developing enterprise solutions using Spark (AWS EMR, Azure Synapse, DataBricks).
Experience in designing, testing, and deploying machine learning frameworks to rapidly iterate on model development & deployment.
Experience developing enterprise applications and data solutions in the cloud – Azure/AWS.
Experience working with data engineers and data scientists to implement AI/ML models and deploying them on ML platform AWS Sagemaker.
Excellent communication and facilitation skills with ability to communicate complex designs and solutions to non-technical and highly technical audiences alike.
#J-18808-Ljbffr