Position Summary...
What you'll do...
This position is responsible for the operation of a department. An individual in this position will be expected to perform additional job related
responsibilities and duties as assigned and/or necessary.
Essential Functions
An individual must be able to successfully perform the essential functions of this position with or without a reasonable accommodation.
Problem Formulation: Translates business problems within one's discipline to data related or mathematical solutions. Identifies what methods (for
example, analytics, big data analytics, automation) would provide a solution for the problem. Shares use cases and gives examples to demonstrate
how the method would solve the business problem.
Applied Business Acumen: Provides recommendations to business stakeholders to solve complex business issues. Develops business cases for
projects with a projected return on investment or cost savings. Translates business requirements into projects, activities, and tasks and aligns to
overall business strategy. Serves as an interpreter and conduit to connect business needs with tangible solutions and results. Recommends new
processes and ways of working.
Data Governance: Establishes, modifies, and documents data governance projects and recommendations. Implements data governance practices in
partnership with business stakeholders and peers. Interprets company and regulatory policies on data. Educates others on data governance
processes, practices, policies, and guidelines. Provides recommendations on needed updates or inputs into data governance policies, practices, or
guidelines.
Data Source Identification: Understands the priority order of requirements and service level agreements. Defines and identifies the most suitable
sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data.
Reviews the deliverables of junior associates and provides guidance.
Data Transformation and Integration: Builds the infrastructure required for optimal transformation and integration from a wide variety of data sources
using appropriate data integration technologies. Uses modern tools, techniques, and architectures to partially or completely automate the mostcommon,
repeatable and tedious data preparation and integration tasks. Deploys pipelines using scheduling and orchestration frameworks. Evaluates
impacts of data issues and risks at an early stage. Identifies needs and creates methods to fuse and reshape complex, multi-source data and make it
usable for modeling. Updates knowledge of current and emerging big data analytics and data science trends and techniques.
Code Development and Testing: Reviews the solution and application design to ensure it meets business, technical, and data requirements. Identifies
language and libraries to use in the development process. Maps test cases to business and functional requirements. Creates proof of concepts.
Reviews and troubleshoots code in line with final designs. Identifies and recommends the appropriate testing methodology. Identifies the
environment(s) for deployment. Identifies and recommends modifications of application based on different environment requirements. Identifies
modifications needed for scalability and drives the change. Monitors applications in production and leads development of patches where required.
Reviews and ensures all code documentation is complete and updated periodically. Review work of Junior associates in the team.
Data Strategy: Understands, articulates, interprets, and applies the principles of the defined strategy to unique, moderately complex business
problems that may span one or main functions or domains.
Data Modeling: Assembles large, complex data across all data platforms (for example, relational, dimensional, NoSQL) and data tools . Builds
complex logical and conceptual models and provides guidance to team on physical data models. Identifies and defines the appropriate techniques for
exposing data to other systems . Reviews and provides guidance and inputs on all data modeling activities to team members. Creates and maintains
critical data documentation and metadata that allows data to be understood and leveraged as a shared asset. Assists in defining data modeling
standards and foundational best practices. Provides inputs to the architectural design to make best use of the available resources, given goals, and
expected loads.
Drives the execution of multiple business plans and projects by identifying customer and operational needs; developing and communicating business
plans and priorities; removing barriers and obstacles that impact performance; providing resources; identifying performance standards; measuring
progress and adjusting performance accordingly; developing contingency plans; and demonstrating adaptability and supporting continuous learning.
Provides supervision and development opportunities for associates by sel
Location: Sunnyvale, CA
Posted: Aug. 9, 2024, 6:28 a.m.
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