Enterprise Architect Ai & Data

About Client:
Client is a company that helps other businesses use technology to improve and grow. They provide services like creating computer programs, managing computer systems, and making sure everything is secure. Client works with different industries like telecommunications, healthcare, banking, and retail to help them use new and exciting technologies like artificial intelligence, cloud computing, and the Internet of Things. These technologies can make businesses more efficient and innovative.
They have offices and people working all around the world, and their team of experts helps businesses solve their technology challenges. Client also cares about making a positive impact on society and the environment, so they support social causes and work to conserve resources.
Salary Range: $180k-$200k/Annum
Job Description:
Responsibilities:

• Develop and Execute Data, Analytics, and AI Strategy:Collaborate with key stakeholders to formulate a comprehensive Data, Analytics, and AI strategy aligned with the organization's objectives and long-term vision.Drive the adoption of cutting-edge technologies and best practices in Data, Analytics, and AI to enhance business outcomes.Oversee the development and implementation of scalable and secure data architecture and analytics solutions.Collaborate closely with business units to grasp their data and analytics requirements and offer strategic advice.Propel the integration of AI and Generative AI technologies to elevate business operations and drive innovation.Identify emerging trends and technologies, evaluating their potential impact on the organization.Take the lead in conducting proof of concepts using selected emerging trends and technologies, providing comprehensive reports to senior leaders.Hands-on approach, be ready to write code as needed.Cultivate collaboration and knowledge exchange across various teams and departments in the realm of Analytics.Measure and report (through goals and KPIs) on the effectiveness of solution delivery
• Architectural Leadership:Establish and uphold architectural standards and best practices for Data, Analytics, and AI solutions.Lead the design and implementation of scalable, secure, and high-performance data architecture and analytics platforms.
• Business Collaboration:Work closely with business units to understand their data and analytics requirements and provide strategic guidance.Translate business needs into architectural blueprints that drive actionable insights and deliver value.
• Innovation and Trends:Identify emerging trends and technologies in the Data, Analytics, and AI space and assess their potential impact on the organization.Lead proof of concepts with selected technologies and provide insightful reports to senior leadership.
• Knowledge Sharing and Collaboration:Foster a culture of collaboration and knowledge sharing across various teams and departments in the realm of Data, Analytics, and AI.Establish and lead an analytics forum for technology leaders and developers to exchange ideas, communicate updates, and gather input for strategy refinement.
• Vendor and Tool Selection:Assist in the evaluation, recommendation, and selection of appropriate tools, platforms, and vendors for data and AI initiatives.Ensure that chosen solutions align with architectural standards and organizational goals.
• Team Leadership:Be able to mentor junior Data Science/AI SMEs around self.Provide technical leadership.Be able to work in a matrix, fast paced environment.Maturity to handle ambiguous situations

• Technical Proficiency:Demonstrated expertise in Data, Analytics, and AI technologies and methodologies.Proven ability to provide solutions to complex technical challenges and drive innovation.
• Leadership and Vision:Strong leadership skills with the ability to provide technical direction and vision for the organization.Track record of driving technical excellence and adopting new technologies to solve business problems.
• Architecture and Design:Extensive experience in designing and implementing scalable, secure, and performant data architecture and analytics solutions.Proficiency in software product design and architecture.
• Business Assessment:Ability to assess the benefits, risks, and success factors of potential applications in the Data, Analytics, and AI space.Experience in developing best practices for business assessment and validation.Communication and Collaboration:Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.Proven ability to collaborate effectively with cross-functional teams and business units.

• Fluency and experience in Python, Data Science, Data Engineering & MLOPS
• Knowledge in RESTful API design and implementation
• Experience of Web framework like FastAPI/Tornado/Flask etc.
• Data Science knowledge and familiarity with Client libraries such as Pandas, Scikit, TensorFlow, xgboost, time series frameworks like prophet/or equivalent frameworks
• In-depth of big data frameworks like Pyspark & gcp tools like data proc, data proc serverless
• Experience designing, building and operating productions grade Client applications
• Knowledge of design patterns and architecture, data science, and machine learning best practices
• Working knowledge of Client frameworks, such as Vertex, Kubeflow, MLflow, CloudRun etc.
• Experience in designing post-deployment model management framework e.g. model monitoring tools, workflows for feature drift, error analysis of models
• Experience in designing MLOps platforms and architect big data systems on GCP cloud
• Experience with relational databases like Big Query, cloud environments, and a good understanding of optimizing storage cost/query cost while designing data engineering workflows
• Good knowledge of Kubernetes, container technologies, docker registries, and applying them in the context of machine learning systems
• Proficiency with CI/CD tools, especially Jenkins
• Experience in designing CI/CD pipelines (Jenkins) for deployment of Data Engineering and Client jobs workflow
• Hands-on experience in orchestration frameworks like Airflow, Cloud Composer, DataProc Serverless for Pyspark jobs etc.
• In-depth understanding of Google Cloud ecosystem for Data Engineering & MLOps - cloud composer, dataproc, dataproc serverless, big query, cloud run, vertex, vertex pipelines, GKE

• Bachelor's or higher degree in Computer Science / Computer Engineering / Statistics / Data Science
• 15+ years of experience in Enterprise Architecture, with a focus on AI , Data & Analytics

About ApTask:
Join ApTask, a global leader in workforce solutions and talent acquisition services, as we shape the future of work. We offer a comprehensive suite of offerings, including staffing and recruitment services, managed services, IT consulting, and project management, providing unparalleled opportunities for professional growth and development. As a member of our dynamic team, you'll have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success for our clients across diverse industries. If you are passionate about excellence, collaboration, and innovation, and aspire to make a meaningful impact in the world of work, come join us at ApTask and be a part of our mission to empower organizations to thrive.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
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At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment.
If you have any concerns or queries about your personal information, please feel free to contact our compliance team at businessexcellence@aptask.com .