data manager

<div>Key Accountabilities
<ul><li>Generate detailed campaign and CVM performance reports, leveraging data visualization tools, to track key metrics and communicate results to stakeholders.
</li><li>Conduct thorough statistical analysis to identify trends, anomalies, and opportunities within data, contributing to the refinement of CVM strategies.
</li><li>Analyze and visualize customer journey data to gain insights into customer behavior, preferences, and engagement patterns.
</li><li>Perform customer segmentation analysis, applying advanced techniques to segment leads and enhance targeting for marketing campaigns.
</li><li>Collaborate with cross-functional teams to interpret data findings, provide actionable recommendations, and support the development of effective CVM initiatives
</li><li>Stay updated on industry best practices in data analysis and contribute to continuous improvement within the CVM team
</li></ul>Qualifications
<ul><li>Bachelor&rsquo;s degree in data science, statistics, mathematics, or related field.
</li><li>Master's degree is a plus
</li></ul>Experience
<ul><li>A highly technical, hands-on, motivated, and collaborative individual with exceptional communication skills and proven experience working with diverse teams of technical architects, business users and IT teams in customer organizations on all phases of transformation programs.
</li><li>Circa 4&amp;#43; years in Senior Segment or Base Management role
</li><li>Proven experience in data analysis, statistical techniques, and data visualization tools
</li><li>Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis
</li><li>Mastery of data visualization tools like RapidMiner, Tableau, Power BI, or their equivalents
</li><li>Strong analytical mindset and ability to translate complex data into actionable insights
</li><li>Excellent communication and presentation skills to convey findings to both technical and non-technical audiences
</li><li>Familiarity with customer segmentation and journey analysis is advantageous
</li><li>Experience in customer value management, marketing, or a related field is a plus
</li></ul>Skills
<ul><li>Organizational &amp; business awareness
</li><li>Communication &amp; negotiation skills
</li><li>Conflict resolution &amp; presentation skills
</li><li>Relationship building and interpersonal capabilities
</li><li>Flexibility to change
</li><li>Project &amp; management
</li><li>Very good technical knowledge in telecom infrastructure</li></ul></div>

CVM Data Manager

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
Parsons is looking for an amazingly talented Mobility Data Manager to join our team! In this role you will get to work alongside mobility experts in the development of a large city in Saudi Arabia by managing the data supporting mobility governance policies and procedures and strategic transportation models.
What You'll Be Doing:<ul><li>
Building a wide network of key program stakeholders across development districts</li><li>
Curates, validates and compiles all digital information and tabular data inputs for consolidation into a common database for applying and reviewing data models</li><li>
Coordinates inputs to documents and the strategic transportation model</li><li>
Ensures a single source of truth for the transportation model data</li><li>
Identifies data discrepancies through validation and reconciliation of multiple data sources</li><li>
Manages identified core datasets (population, employment, land use, transport infrastructure and services) to ensure their mutual consistency and to translate into a common digital format for use in all downstream governance products</li><li>
Creates maps and visualizations for documents</li></ul>
What Required Skills You'll Bring:<ul><li><div>
B.Sc. in a relevant discipline</div></li><li><div>
10+ years in data management for planning or transport projects.</div></li><li><div>
Expert proficiency with GIS applications, interfaces, and geodatabases (SQLServer/JSON etc.)</div></li><li><div>
Experience managing large datasets and automating data processing workflows.</div></li><li><div>
Design of model data structures.</div></li></ul> 
What Desired Skills You'll Bring:<ul><li>
Exceptional technical writing and presentation skills</li><li>
Ability to work within culturally-diverse team and quickly establish key relationships</li><li>
Experience working on giga projects in the Kingdom of Saudi Arabia</li></ul>
Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

Data Manager (Saudi National)

Southwest Airlines

Department: Technical Operations
 
Our Company Promise
 
We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.
 
Job Description: Job Summary
 Interested in building the technical data that keeps our aircraft operating safely and efficiently? As an Associate Technical Data Manager, you will support the creation and revision of aircraft maintenance documentation while gaining exposure to Original Equipment Manufacturer (OEM) materials, regulatory standards, and Southwest’s Maintenance programs. You will help develop accurate , compliant work instructions that our mechanics rely on every day and collaborate with a Team focused on clarity, consistency, and continuous improvement. This role offers a clear development path into aviation technical data and document lifecycle management, giving you the opportunity to support fleet modernization and make a meaningful impact from day one.
 
Additional details: 
The culture of Southwest Airlines means we value the camaraderie, collaboration, and innovation that occurs when we come together and interact face-to-face at our vibrant Corporate Campus. Due to the nature of this role, you would be required to work from our Dallas, TX headquarters facility during business hours.
 
U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available .
 
We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics.
 Responsibilities
 Assist in preparing, formatting, and updating maintenance-related technical documentation
 Support the implementation of document change requests and OEM document revisions
 Help manage document change workflows, version control, and digital archives
 Participate in quality checks for clarity, formatting, and compliance with standards
 Interpret basic technical content with guidance and support
 Assist in integrating regulatory directives and OEM updates into technical data
 Learn and apply documentation tools, XML/SGML structures, and template use
 Maintain organized records and contribute to documentation audits
 Support Station visits, as required to, support Maintenance Programs
 Participate in training, team meetings, and document change improvement projects
 Collaborate with technical writers and engineers and other stakeholder to resolve content-related questions
 Must be able to meet any physical ability requirements listed on this description
 May perform other job duties as directed by Employee's Leaders
 Knowledge, Skills, and Abilities
 Foundational understanding of aircraft systems, technical documentation, and maintenance program structures.
 Foundational in interpreting regulatory, OEM documentation, and Engineering documents, such as but not limited to AMM, IPC, ADs, SBs, STCs, Engineering Orders, Design Drawings.
 Foundantional in interpersonal and communication skills with the ability to lead, influence, collaborate, and adapt within cross-functional team environments; consistently effective under pressure and within proposed deadlines.
 Strong written and verbal communication skills
 Detail-oriented with a willingness to follow established processes
 Basic technical comprehension and interest in technical documentation
 Familiarity with MS Office; exposure to XML/SGML tools is a plus
 Team-oriented with eagerness to learn and take initiative
 Comfortable working in fast-paced, deadline-driven environments Education
 Required: High School Diploma or GED
 Experience
 
Entry-level experience, developing skills and knowledge in: 
Aircraft Maintenance, Maintenance Programs, Technical Data Management, and/or Technical Writing
 Licensing/Certification
 Must be able to obtain and maintain a SIDA badge and meet all local airport requirements
 Physical Abilities
 Ability to perform work duties from [limited space work station/desk/office area] for extended periods of time
 Ability to communicate and interact with others in the English language to meet the demands of the job
 Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job
 Other Qualifications
 Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines
 Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986
 Must be at least 18 years of age
 Must be able to comply with Company attendance standards as described in established guidelines
 Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
 
Pay & Benefits: 
Competitive market salary from $77,200 per year to $85,800 per year* depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the Company.
 
Benefits you’ll love: 
<ul>
<li>Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too)</li>
<li>Southwest will help fund your Retirement Savings Plan, which includes a dollar-for-dollar 401(k) Company match contribution of up to 9.3% of your eligible earnings**</li>
<li>Potential for annual profit-sharing contribution in the Southwest Retirement Savings Plan—when Southwest profits, you profit***</li>
<li>Competitive health insurance for you and your eligible dependents</li>
<li>Southwest offers health plan coverage options that start from the very first day of employment. You'll have 30 days to select and enroll in your health plan, and coverage will be retroactively available to your first day of employment.</li>
<li>Explore more benefits you’ll love: https://careers.southwestair.com/benefits</li>
<li>Pay amount doesn’t guarantee employment for any particular period.</li>
</ul>
**401(k) Company match contributions are subject to the plan’s vesting schedule. Match contributions may vary based on the position.
 *** Profit-sharing contributions are subject to the Retirement Savings Plan vesting schedule and are made at the discretion of the Company.
 
Southwest Airlines is an Equal Opportunity Employer.
 Please print/save this job description because it won't be available after you apply.
 Job Posting End Date
 04/14/2026

Associate Technical Data Manager

KPMG

<div>Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team.
KPMG is currently seeking a Data Scientist to join our Audit Technology Alliance organization.
Responsibilities:<ul><li>
Develop sophisticated generative AI solutions; provide technical guidance to a team of data scientists</li><li>
Guide the end-to-end data science lifecycle for key product features; oversee experimentation, rigorous model evaluation, and prompt engineering and optimization</li><li>
Collaborate closely with product managers, audit subject matter experts, and engineering teams to translate complex business requirements into scalable and reliable technical solutions</li><li>
Champion a culture of quality and innovation within engineering teams; identify opportunities to continually improve solutions</li><li>
Drive quality SDLC processes with AI engineering teams; deliver solutions on time to meet business cycle timelines</li><li>
Champion and enhance AI and RAG evaluation frameworks using tools like LangSmith; ensure solutions meet KPMG's standards for quality</li><li>
Provide technical leadership and mentorship to junior data scientists; guide hands-on work in context engineering, model tuning, and advanced data analysis</li><li>
Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment</li></ul>
Qualifications:<ul><li>
Minimum five years of recent experience in data science or a related machine learning field with a proven track record of delivering AI solutions into production environments</li><li>
PhD or Master's degree from an accredited college or university in computer science, statistics, mathematics, or a related quantitative discipline is required</li><li>
Hands-on expertise with generative AI including extensive experience with LLMs (for example, Azure OpenAI, Google Cloud), RAG pipelines, and AI frameworks such as LangChain/LangGraph or Semantic Kernel</li><li>
Proficient in Python and its data science ecosystem; experienced in building solutions on data platforms like Databricks or Microsoft Fabric and search technologies like Azure AI Search</li><li>
Solid understanding of the software development lifecycle (SDLC) in an agile environment; experienced with version control tools like Git and CI/CD tools within Azure DevOps</li><li>
Exceptional analytical skills; able to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders(200TEC)</li></ul>
<div>KPMG LLP and its subsidiaries (&ldquo;KPMG&rdquo;) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits &amp; How We Work.</div><div></div><div> 
Follow this link to obtain salary ranges by city outside of CA:</div>
https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8153_9_26
<div><div>KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please.</div><div></div><div> 
KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.</div><div></div><div> 
Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.</div></div></div>

Data Scientist- Manager

WeProcess Digital Operations LLC

About the RoleAt WeProcess Digital Operations LLC, we apply precision and efficiency to every data driven solution we deliver. We build scalable data operations systems that power enterprise decision making across finance ecommerce logistics and global platforms.We are looking for a Senior Data Operations Manager who can lead and optimize large scale data workflows and operational teams. You are not just managing processes you are building reliable data ecosystems that drive business performance.You will lead a team of analysts and data specialists ensuring accuracy efficiency and scalability across all data operations. You will act as the bridge between technical teams and business stakeholders translating data into actionable insights.Why Work With UsThe Environment Our office in Al Sadd Doha offers a professional and collaborative workspace designed for productivity and focus with access to key business hubsOperational Excellence We prioritize structured processes automation and continuous improvement You will work in a company that values efficiency and measurable resultsModern Tools and Systems We utilize advanced data platforms cloud tools and automation technologies to support high volume data operationsGrowth You will have opportunities to lead large scale projects mentor teams and expand your expertise in digital transformation and data operationsKey ResponsibilitiesData Operations Leadership Oversee daily data operations ensuring accuracy consistency and timely delivery across multiple business unitsProcess Optimization Design improve and automate workflows to increase efficiency and reduce manual workTeam Management Lead mentor and develop data analysts and operations staff Conduct performance reviews and support career growthData Quality and Governance Implement standards for data validation compliance and security across all systemsStakeholder Collaboration Work closely with internal teams and clients to understand data requirements and deliver actionable insightsReporting and Analytics Develop dashboards and reports that support strategic decision making and operational performance trackingWhat We Are Looking ForExperience 6 plus years in data operations data management or business analytics with at least 2 years in a leadership roleTechnical Skills Strong experience with data tools such as SQL Excel BI tools and cloud based platformsProcess Mindset Proven ability to design and improve operational workflows in high volume environmentsLeadership Experience managing teams and driving performance in a structured operations environmentCommunication Skills Ability to present data insights clearly to both technical and non technical stakeholdersMindset Detail oriented analytical and focused on continuous improvement and operational excellencePay: QAR14,000.00 - QAR20,000.00 per monthWork Location: In person

Senior Data Operations Manager

<div>Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description &amp; Summary
Job Description Summary
 
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
7+ years of experience in data modeling and data architecture.
 
Strong knowledge of:
<ul><li>Dimensional modeling (Kimball)
</li><li>Data Vault (preferred)
</li><li>3NF / normalized modeling
</li><li>Star &amp; Snowflake schemas
</li><li>Experience with enterprise data warehouse or lakehouse architecture.
</li><li>Strong SQL skills.
</li><li>Experience with modeling tools (ERwin, ER/Studio, PowerDesigner, or equivalent).
</li><li>Experience in financial services, regulatory reporting, or large-scale enterprise data environments is preferred.
</li><li>Knowledge of data governance frameworks (DAMA-DMBOK preferred).
</li>Strong analytical and problem-solving skills. 
<li>
 
</li></ul>Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date</div>

ETIC, Data Modeler, Manager

GIG Gulf

<div>
 
 
 Who we are:
 
 
 
 GIG Gulf (a Fairfax company) is part of the Gulf Insurance Group (GIG), the #1 largest regional composite insurer in the Middle East and North Africa, with presence in 12 markets including the United Arab Emirates, Bahrain, Oman, Qatar, Saudi Arabia, Algeria, Egypt, Iraq, Jordan, Kuwait, Lebanon, and Turkey. GIG Group reported consolidated assets of US$ 3.83 billion and $69 million net profit for the year 2023. The majority shareholder of GIG Group is Toronto based Fairfax Financial Holding, a global leader in insurance and reinsurance with a presence in 40 markets.
 
 
 
 
 
 GIG Gulf is an &lsquo;A&rsquo; rated regional insurer with a top 5 position in each of its markets (UAE, Oman, Qatar, Bahrain). GIG Gulf has been present in the region for over 70 years with a strategic focus on both growth and investments and is a one stop shop offering a wide range of insurance products and services that cater to a broad variety of needs for corporates, SMEs and individual customers throughout UAE, Oman, Bahrain, and Qatar. GIG Gulf also owns a 50% stake in GIG Saudi. Our strategic objectives and guiding principles are focused on Regional Growth, Customer Experience and Digital Transformation.
 
 
 
 
 
 GIG Gulf has created a diverse and inclusive working environment and culture with a workforce of over 800 employees, with over 60 nationalities, across 15 branches and retail shops region-wide and over 1 million customers. GIG Gulf is a caring partner that encourages customers to achieve their goals and live an inspiring and fulfilling life. We are obsessed with customer feedback and continuously evolving to become the region&rsquo;s digital insurer of reference, committed to running our operations in a responsible, sustainable way
 
 .
 
 
 
 
 
 
 
 Job purpose:
 
 
 
 Are you enthusiast in contributing to the business purpose of a Regional Insurance Leader? Are you Data driven, technologically savvy and hands-on Data Architect with Data Engineering exposure on AWS and Azure Cloud? Express your Passion with GIG Gulf business and IT stakeholders to:
 
 <ul>
 <li>
 define and maintain GIG Gulf IT Data standards, architectural guidelines and solutions.
 </li>
 <li>
 lead pilots, POCs and exploration of new innovative solutions, practices and patterns
 </li>
 <li>
 influence delivery of GIG Gulf Data &amp; AI projects on time, quality and budget,
 </li>
 <li>
 actively contribute to GIG Gulf&rsquo; Data &amp; AI vision and roadmap, including business case definition, project requirements, organization, and methodology,
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities:
 
 
 
 In collaboration with GIG Gulf business and IT stakeholders and considering information system landscape, business ambitions, recommendation, best practices, technology evolution and market trends:
 
 
 
 
 
 Architecture
 
 <ul>
 <li>
 Lead the definition and maintenance of GIG Gulf&rsquo;s enterprise data and AI architecture and delivery roadmap
 </li>
 <li>
 Drive the data and AI architecture aligned with GIG Gulf&rsquo;s business and technology strategy
 </li>
 <li>
 Contribute to the IT Strategy Plan, including cloud, data, analytics, and AI capabilities
 </li>
 <li>
 Support selection and evolution of data and AI platforms, technologies, and strategic partners
 </li>
 </ul>
 
 
 
 
 Data &amp; AI Platform Leadership
 
 <ul>
 <li>
 Define architectural patterns for data platforms supporting analytics, reporting, AI/ML, and GenAI use cases
 </li>
 <li>
 Guide the design of AI-ready data foundations, including structured and unstructured data pipelines
 </li>
 <li>
 Ensure architectural consistency, reuse, and alignment across data, analytics, and AI solutions
 </li>
 <li>
 Work closely with information security, risk, and compliance teams to embed governance and controls
 </li>
 </ul>
 
 
 
 
 Technical Leadership
 
 
 Strong technical leader with broad and in-depth understanding of:
 
 <ul>
 <li>
 Data architecture, data modeling, and data governance
 </li>
 <li>
 Data engineering and cloud-native data platforms
 </li>
 <li>
 Analytics, BI, and AI/ML solution patterns
 </li>
 <li>
 Generative AI concepts including LLM-based solutions, retrieval-augmented generation (RAG), and vector-based retrieval architectures etc.
 </li>
 <li>
 Maintain practical knowledge of data and AI services from AWS and Azure along with modern development practices
 </li>
 </ul>
 
 
 
 
 
 Operational &amp; Technical Responsibilities:
 
 
 
 Data &amp; AI Architecture
 
 
 Function as an active, initiative‑taking Data and AI Architect for GIG Gulf initiatives:
 
 <ul>
 <li>
 Refine and maintain data and AI architecture frameworks, guidelines, and design patterns
 </li>
 <li>
 Define target-state architectures for master data (customer, product, provider, referential data)
 </li>
 <li>
 Contribute to solution and technical architecture covering:
 </li>
 <li>
 Data lakes and analytical platforms
 </li>
 <li>
 AI/ML and GenAI-enabled use cases
 </li>
 <li>
 Design architecture that support AI workloads, including (desirable):
 </li>
 <li>
 Retrieval-augmented generation (RAG) patterns
 </li>
 <li>
 Vector storage and semantic retrieval for enterprise knowledge use cases
 </li>
 <li>
 Secure integration of public or foundation models with internal data
 </li>
 </ul>
 
 
 
 
 Tangible Outcomes &amp; Delivery Focus
 
 
 Maintain a strong delivery and results orientation:
 
 <ul>
 <li>
 Contribute to the data and AI roadmap aligned to business priorities
 </li>
 <li>
 Lead implementation of data and analytics solutions on AWS (e.g., S3, Glue, Redshift, RDS, Lambda, Athena) and/or Azure (e.g., Data Lake Storage, Data Factory, Synapse Analytics, Azure Functions, Event Hubs)
 </li>
 <li>
 Oversee data modeling for OLTP and OLAP systems, including data quality, cleansing, and de-duplication initiatives
 </li>
 <li>
 Guide data engineering practices using Spark (Python, Spark SQL), data workflows and automated pipelines
 </li>
 <li>
 Support AI-enabled analytics and reporting use cases through curated data marts and BI extensions
 </li>
 <li>
 Ensure solutions are production-ready, documented, and maintainable
 </li>
 </ul>
 
 
 
 
 AI Solution Governance &amp; Integration
 
 <ul>
 <li>
 Define architectural guardrails for enterprise AI usage, including (desirable):
 </li>
 <li>
 Responsible and compliant use of LLMs and GenAI services
 </li>
 <li>
 Data access, privacy, and residency controls for AI solutions
 </li>
 <li>
 Integration patterns for AI agents and automated workflows where applicable
 </li>
 <li>
 Support evaluation and controlled adoption of AI technologies, avoiding fragmented or unmanaged deployments
 </li>
 <li>
 Ensure AI solutions are aligned with enterprise architecture, security, and regulatory requirements
 </li>
 </ul>
 
 
 
 
 Communication &amp; Stakeholder Engagement
 
 <ul>
 <li>
 Prepare clear, structured architectural proposals and decision papers with supporting rationale
 </li>
 <li>
 Communicate architectural choices to both technical and non-technical stakeholders
 </li>
 <li>
 Provide clear recommendations aligned with business outcomes and strategy
 </li>
 <li>
 Promote collaboration, reuse, and shared ownership across delivery teams
 </li>
 </ul>
 
 
 
 
 Quality &amp; Operational Excellence
 
 <ul>
 <li>
 Ensure high-quality testing, data validation, and operational readiness of data and AI platforms
 </li>
 <li>
 Support incident, problem, and defect analysis related to data and AI solutions
 </li>
 <li>
 Track and follow up on issues to ensure timely resolution and continuous improvement
 </li>
 </ul>
 
 
 
 
 People Leadership
 
 <ul>
 <li>
 Manage recruitment and onboarding of data and AI team members in collaboration with HR
 </li>
 <li>
 Set, review, and track team objectives and performance
 </li>
 <li>
 Support team development through coaching, mentoring, and targeted training
 </li>
 <li>
 Foster a collaborative culture aligned with GIG values and delivery commitments
 </li>
 </ul>
 
 
 
 
 Business / Domain knowledge requirements
 
 <ul>
 <li>
 Knowledge of Health Data industry
 </li>
 <li>
 Basic knowledge of the insurance business
 </li>
 <li>
 Basic understanding of market practices/business processes
 </li>
 <li>
 Understanding of regulatory challenges, including compliance, data privacy and residency
 </li>
 </ul>
 
 
 
 
 
 Minimum requirements of role
 
 
 
 
 Qualifications &amp; Technical Skills
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related technical discipline
 </li>
 <li>
 Master&rsquo;s degree or relevant professional certifications (cloud, data, or architecture‑related) are an advantage but not mandatory
 </li>
 </ul>
 
 
 Experience
 
 
 <ul>
 <li>
 8 &ndash;12 years of overall experience in data architecture, data engineering, or closely related roles
 </li>
 <li>
 3-5 years in an architecture role responsible for data platforms on cloud
 </li>
 <li>
 Proven experience designing and delivering data and analytics solutions on AWS and/or Azure
 </li>
 <li>
 Experience in regulated environments (insurance, financial services, healthcare) is preferred
 </li>
 </ul>
 
 
 
 
 
 Core Skills
 
 
 <ul>
 <li>
 Data Architecture &ndash; Ability to define conceptual, logical, and physical data architectures aligned to business strategy
 </li>
 <li>
 Cloud Data Platforms &ndash; Hands‑on experience with AWS and/or Azure data and analytics services
 </li>
 <li>
 Data Engineering &ndash; Hands on experience designing and delivering scalable ETL/ELT pipelines using Spark and Python
 </li>
 <li>
 Analytics &amp; BI &ndash; Hands on experience with analytical use cases, data marts, and BI platforms (such as Power BI or others)
 </li>
 <li>
 AI‑enabled Data Architectures (
 
 desirable
 
 ) &ndash; Hands on experience enabling AI/ML and GenAI use cases through data foundations, including exposure to LLM‑based solutions, RAG patterns, and vector‑based retrieval where applicable
 </li>
 <li>
 Data Governance &amp; Security &ndash; Strong understanding of data quality, privacy, residency, and security‑by‑design principles
 </li>
 </ul>
 
 
 
 
 
 Collaboration
 
 
 <ul>
 <li>
 Proven experience leading data or analytics teams
 </li>
 <li>
 Strong stakeholder management skills across business, IT, and control functions
 </li>
 <li>
 Ability to communicate architectural decisions clearly
 </li>
 <li>
 Comfortable working in a high‑demand, delivery‑oriented environment
 </li>
 </ul>
 
 
 
 
 
 Communication and Soft Skills
 
 
 <ul>
 <li>
 Excellent communication skills in English, both verbal and written
 </li>
 <li>
 Team player &ndash; ability to work with a team and influence a positive collaborative culture
 </li>
 <li>
 Ability to prioritize workload appropriately based on the impact on the business
 </li>
 <li>
 Demonstrated ability to work independently while efficiently managing multiple projects simultaneously.
 </li>
 </ul>
 
 
</div>

Data Architecture Manager

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