senior data architect

GitHub

<div>About GitHub: As the global home for all developers, GitHub is the complete AI-powered developer platform to build, scale, and deliver secure software. Over 150+ million developers, including more than 90% of the Fortune 100 companies, use GitHub to collaborate and experiment across 420+ million repositories. With all the collaborative features of GitHub, it has never been easier for individuals and teams to write faster, better code. 
Locations: In this role you can work from Remote, United States 
Overview:

We are seeking a Senior Data Architect to both design our enterprise data strategy and lead the practical development of its core components. As a senior technical leader, you will apply your deep expertise in data engineering to build and optimize scalable data pipelines, integrations, and robust data models that solve complex business challenges. 
While you will set the architectural vision and serve as a trusted advisor to stakeholders, a significant part of your role will involve hands-on implementation and coding. You will act as a technical mentor, championing best practices in data quality, governance, and ethical data handling.A key aspect of this role involves partnering with upstream process teams to influence and improve data generation workflows. You will proactively identify opportunities to enhance data accuracy, completeness, and usability at the source, ensuring that downstream analytics and decision-making are powered by high integrity data. 
You will actively contribute to the engineering efforts required to build a cohesive data ecosystem, while also driving alignment across teams on data standards, privacy requirements, and governance policies.
Responsibilities:
<ul><li>Data Governance and Privacy: Initiates Design and implement scalable, reusable, and discoverable data pipelines and integrations across diverse systems, ensuring alignment with business goals and data governance policies.</li><li>
Data Model Evaluation: Resolve data integrity issues in collaboration with engineering and analytics teams. Promote upstream changes for long-term data quality and consistency.</li><li>
Develop Analytical Frameworks and Tools: Create prototype data models and tools to support business decision-making. Evaluate and improve existing models and analytical techniques, anticipating risks such as data leakage and methodological limitations.</li><li>
Drive Innovation and Continuous Improvement: Track advances in data engineering, architecture, and analytics. Adapt emerging technologies and methodologies to improve performance, scalability, and maintainability of data systems.</li><li>
Customer/Stakeholder Engagement: Partner with stakeholders to understand business needs, define data requirements, and deliver actionable insights. Lead conversations to interpret analytical results and articulate data-driven strategies.</li></ul>
Qualifications:

Required Qualifications<ul><li>
7+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis 
<ul><li>
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis</li><li>
OR equivalent experience.</li></ul></li></ul>
Preferred Qualifications<ul><li>
9+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis 
<ul><li>
OR Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 7+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis o OR Master's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 5+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis.</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years experience with using PowerBI, SQL, Python, Workday, Sales Force, or other data analytics tools.</li><li>
4+ years consulting experience</li></ul>
Compensation Range: The base salary range for this job is USD $103,200.00 - USD $273,700.00 /Yr. 
 
These pay ranges are intended to cover roles based across the United States. An individual's base pay depends on various factors including geographical location and review of experience, knowledge, skills, abilities of the applicant. At GitHub certain roles are eligible for benefits and additional rewards, including annual bonus and stock. These rewards are allocated based on individual impact in role. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee's role. GitHub Leadership Principles:
GitHub values
<ul><li>Customer-obsessed</li>
<li>Ship to learn</li>
<li>Growth mindset</li>
<li>Own the outcome</li>
<li>Better together</li>
<li>Diverse and inclusive</li></ul>
Manager fundamentals
<ul><li>Model</li>
<li>Coach</li>
<li>Care</li></ul>
Leadership principles
<ul><li>Create clarity</li>
<li>Generate energy</li>
<li>Deliver success</li></ul>
Who We Are: GitHub is the world&rsquo;s leading AI-powered developer platform with 150 million developers and counting. We&rsquo;re also home to the biggest open-source community on earth (and 99% of the world&rsquo;s software has open-source code in its DNA). Many of the apps and programs you use every day are built on GitHub. 
Our teams are dreamers, doers, and pioneers, leading the way in AI, driving humanitarian efforts around the globe, and even sending open source to Mars (and beyond!). At GitHub, our goal is to create the space you need to do your best work. We&rsquo;re remote-first and offer competitive pay, generous learning and growth opportunities, and excellent benefits to support you, wherever you are&mdash;because we know that people flourish when they can work on their own terms. 
Join us, and let&rsquo;s change the world, together. 
EEO Statement: GitHub is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. We don't discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or any other differences. Also, if you have a disability, please let us know if there's any way we can make the interview process better for you; we're happy to accommodate!</div>

Senior Data Architect

Mars

<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>Job Description:</div></div></div></div></div></div></div></div></div></div></div></div></div></div>
We are seeking a highly skilled Data Architect for Gen AI Engineering to lead the design and implementation of robust data architectures that support our generative AI initiatives across various business functions, including Marketing, Product Development, and Customer Insights.
This role is transformation-funded and therefore has an expected end date of 31st December 2026.
What are we looking for?<ul><li>
A seasoned data architect with 8+ years of experience in data architecture and engineering, specifically in the context of generative AI and machine learning applications.</li><li>
Strong expertise in designing scalable data models and architectures, with proficiency in cloud platforms such as AWS, GCP, or Azure, and familiarity with data warehousing solutions.</li><li>
Experience with data integration tools, ETL processes, and data pipeline development, along with a solid understanding of data governance and security best practices.</li><li>
Proven leadership skills in managing cross-functional teams, driving data strategy, and delivering innovative data solutions that align with business objectives.</li></ul>
What will be your key responsibilities?<ul><li>
Lead the architectural design and implementation of data solutions that enable generative AI capabilities, ensuring they meet performance, scalability, and security requirements.</li><li>
Collaborate with data scientists, engineers, and business stakeholders to define data strategies and roadmaps that support AI-driven initiatives.</li><li>
Establish best practices for data architecture, including data quality, governance, and compliance, while promoting a culture of innovation and continuous improvement.</li><li>
Provide technical guidance and mentorship to team members, fostering their professional growth and enhancing their data engineering skills.</li><li>
Engage with external partners and vendors to evaluate new technologies and tools that can enhance our data architecture capabilities and drive business value.</li></ul><h1 class="jobSectionHeader">
What can you expect from Mars?</h1><ul><li>
Work with diverse and talented Associates, all guided by the Five Principles.</li><li>
Join a purpose driven company, where we&rsquo;re striving to build the world we want tomorrow, today.</li><li>
Best-in-class learning and development support from day one, including access to our in-house Mars University.</li><li>
An industry competitive salary and benefits package, including company bonus.</li></ul>
#TBDDT</div>

Senior Data Architect - Gen AI Engineering

Magellan Health

<div>This position provides technology leadership by first understanding line of business and IT strategy and providing the leadership required for driving a specific Architecture domain(s) within a SBU IT organization.<ul><li>
Provide technical and mentoring leadership for one or more of the following domains: Business Architecture, Application/Software Architecture, Database Architecture, Infrastructure Architecture and Security Architecture.</li><li>
Be an example of a model coach and mentor to other IT Architects across the organization.</li><li>
Communicate direction with IT and business leadership within Magellan.</li><li>
Mindful of the Healthcare Industry and Digital Health trends.</li><li>
Other duties as assigned.</li></ul>
The job duties listed above are representative and not intended to be all-inclusive of what may be expected of an employee assigned to this job. A leader may assign additional or other duties which would align with the intent of this job, without revision to the job description.
Other Job Requirements
Responsibilities
8+ years of related experience including experience working with Agile Methods and modern technology environments. 
Critical Thinker. 
Strong data modeling skills. 
Demonstrated problem solving techniques. 
Experience leading cross functional project teams, workgroups. 
Strong verbal and written communication skills.
General Job Information
Title
Senior Principal Data Architect
Grade
31
Work Experience - Required
IT
Work Experience - Preferred
Education - Required
A Combination of Education and Work Experience May Be Considered., Bachelor's, Bachelor's - Computer and Information Science
Education - Preferred
License and Certifications - Required
TOGAF - The Open Group Architecture Framework - EnterpriseEnterprise
License and Certifications - Preferred
AWS - Amazon Web Services Certified Developer - Associate - EnterpriseEnterprise, AWS - Amazon Web Services Certified Solutions Architect - Associate - EnterpriseEnterprise, AWS - Amazon Web Services Certified SysOps Administrator - Associate - EnterpriseEnterprise
Salary Range
Salary Minimum:
$117,860
Salary Maximum:
$200,360
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law.
This position may be eligible for short-term incentives as well as a comprehensive benefits package. Magellan offers a broad range of health, life, voluntary and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing.
Magellan Health, Inc. is proud to be an Equal Opportunity Employer and a Tobacco-free workplace. EOE/M/F/Vet/Disabled. 
Every employee must understand, comply with and attest to the security responsibilities and security controls unique to their position; and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.</div>

Senior Principal Data Architect

VentureDive

<div>
 
 Job Brief
 
 
 
 We are seeking a highly skilled
 
 Data &amp; AI Architect
 
 to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation.
 
 
 
 VentureDive Overview
 
 
 
 Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments
 </li>
 <li>
 Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources
 </li>
 <li>
 Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring
 </li>
 <li>
 Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling
 </li>
 <li>
 Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps
 </li>
 <li>
 Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications
 </li>
 <li>
 Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage
 </li>
 <li>
 Optimize pipelines and workflows for performance, scalability, and cost-efficiency
 </li>
 <li>
 Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models
 </li>
 <li>
 Produce high-quality architecture documentation, data flow diagrams, and solution blueprints
 </li>
 <li>
 Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design
 </li>
 <li>
 Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases
 
 
 </li>
 </ul>
 
 Required Experience &amp; Qualification:
 
 
 
 <ul>
 <li>
 10+ years of experience in data engineering, data architecture, or AI solution design
 </li>
 <li>
 Strong hands-on experience with data platform technologies, such as:
 </li>
 <li>
 Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar
 </li>
 <li>
 Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse)
 </li>
 <li>
 AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI)
 </li>
 <li>
 Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time)
 </li>
 <li>
 Deep understanding of data lakehouse and data mesh architectures
 </li>
 <li>
 Experience implementing governance, lineage, and security frameworks for data and AI systems
 </li>
 <li>
 Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences
 </li>
 <li>
 Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems
 
 
 </li>
 </ul>
 
 Preferred Skills:
 
 
 
 <ul>
 <li>
 Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures)
 </li>
 <li>
 Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines)
 </li>
 <li>
 Familiarity with DataOps and CI/CD practices for data and AI workflows
 </li>
 <li>
 Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker)
 </li>
 <li>
 Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI
 </li>
 <li>
 Experience leading data and AI modernization initiatives or enterprise AI strategy projects
 </li>
 <li>
 Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards)
 
 
 </li>
 </ul>
 
 What We Look For Beyond Required Skills
 
 
 
 In order to thrive at VentureDive, you
 
 
 &hellip;are intellectually smart and curious
 
 
 &hellip;have the passion for and take pride in your work
 
 
 &hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values
 
 
 &hellip;have a no-frills attitude
 
 
 &hellip;are a collaborative team player
 
 
 &hellip;are ethical and honest
 
 
 Are you ready to put your ideas into products and solutions that will be used by millions?
 
 
 You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball!
 
 
 Powered by JazzHR
 
 
 lSXDsfMqSd
 
 
</div>

Data & AI Architect

<div>Job Brief 
We are seeking a highly skilled Data &amp; AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation. 
 
VentureDive Overview 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities:<ul><li>
Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments.</li><li>
Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.</li><li>
Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.</li><li>
Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.</li><li>
Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.</li><li>
Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.</li><li>
Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.</li><li>
Optimize pipelines and workflows for performance, scalability, and cost-efficiency.</li><li>
Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.</li><li>
Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.</li><li>
Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.</li><li>
Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.</li></ul> 

Required Experience &amp; Qualification:<ul><li>
10+ years of experience in data engineering, data architecture, or AI solution design.</li><li>
Strong hands-on experience with data platform technologies, such as:</li><li>
Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.</li><li>
Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).</li><li>
AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).</li><li>
Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).</li><li>
Deep understanding of data lakehouse and data mesh architectures.</li><li>
Experience implementing governance, lineage, and security frameworks for data and AI systems.</li><li>
Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.</li><li>
Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.</li></ul> 

Preferred Skills:<ul><li>
Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).</li><li>
Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).</li><li>
Familiarity with DataOps and CI/CD practices for data and AI workflows.</li><li>
Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).</li><li>
Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.</li><li>
Experience leading data and AI modernization initiatives or enterprise AI strategy projects.</li><li>
Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
 
#LI-Hybrid
lSXDsfMqSd</div>

Ericsson

<div><div><div><div><h2 class="jobSectionHeader">Join our Team</h2></div><div> 
About this opportunity: 
Ericsson seeks a Solution Architect to design end-to-end GenAI/AI solutions that align with customer needs and business goals. You&rsquo;ll bridge between requirements, architecture, and delivery, supporting consultants during analysis and high-level design, with opportunities to contribute to customer support, sales, and service delivery. 
What you will do: 
<ul><li>
Define and own enterprise-scale GenAI/AI architectures.</li><li>
Design reference architectures, reusable patterns, and integration best practices.</li><li>
Collaborate with domain leads, data scientists, security, and developers to map requirements to scalable AI architectures.</li><li>
Evaluate LLMs, vector databases, and orchestration frameworks for performance, compliance, and cost.</li><li>
Architect RAG pipelines, agentic workflows, and multi-agent production deployments.</li><li>
Embed security, privacy, governance, and Responsible AI by design.</li><li>
Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) with scalability in mind.</li><li>
Lead model lifecycle management (deployment, monitoring, retraining, drift handling) and MLOps practices.</li><li>
Recommend tools and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability.</li><li>
Stay ahead of GenAI/AI trends and translate them into actionable roadmaps.</li></ul> 
The skills you bring: 
<ul><li>
Proven AI/ML/GenAI architecture/design experience for large-scale systems.</li><li>
Strong Python expertise; familiarity with ML/DL frameworks (PyTorch, TensorFlow).</li><li>
Deep knowledge of LLM architectures, fine-tuning (LoRA, PEFT, adapters), and deployment strategies.</li><li>
Experience with RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus).</li><li>
Familiarity with agentic GenAI systems (LangChain, LlamaIndex, AutoGen, Crew.ai, LangGraph) and MCP.</li><li>
Cloud-native architecture (AWS, Azure) and container orchestration (Docker/Kubernetes).</li><li>
Solid MLOps understanding (CI/CD for ML, observability, retraining, governance).</li><li>
Strong business-technical communication and ability to translate requirements into practical roadmaps.</li><li>
Bonus: Telecom enterprise AI adoption experience</li></ul> 
Key Qualifications: 
<ul><li>
Education: B.E/B.Tech, MCA (regular)</li><li>
Minimum experience: 10+ years</li><li>
Locations: Gurgaon, Kolkata , Noida</li></ul></div></div></div> 
Why join Ericsson?
At Ericsson, you&acute;ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what&acute;s possible. To build solutions never seen before to some of the world&rsquo;s toughest problems. You&acute;ll be challenged, but you won&rsquo;t be alone. You&acute;ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. 
 
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Gurgaon
Req ID: 775813</div>

AI-Data Architect

EMIRATES GLOBAL ALUMINIUM (EGA)

KEY ACCOUNTABILITIES:<ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul>AUTHORITY/ DECISION MAKING:<ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

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