business analyst

operations manager

ai & data engineer

business analyst lead

business intelligence

data management analytics expert

Parsons Corporation

<div>
 In a world of possibilities, pursue one with endless opportunities. Imagine Next!
 
 
 When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We&rsquo;ve got what you&rsquo;re looking for.
 
 
 
 Job Description
 
 
 
 Parsons is seeking a highly skilled and experienced
 
 Data Management / Analytics Expert
 
 to join our transportation technology team on a high-profile project in Saudi Arabia. This role is pivotal in leveraging big data to drive insights and optimizations for traffic management systems, enabling data-driven decision-making in large-scale urban transportation projects. The ideal candidate will have deep expertise in transportation data analytics, big data processing, visualization tools, and statistical analysis to support scalable solutions for traffic optimization.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Design and implement data management strategies for transportation datasets, including ingestion, processing, and storage of traffic, sensor, and mobility data from diverse sources (e.g., ITS systems, APIs, sensors).
 </li>
 <li>
 Develop advanced analytics workflows to process big data, applying statistical models and machine learning techniques to derive insights for traffic flow, congestion prediction, and optimization.
 </li>
 <li>
 Build and maintain visualization dashboards and tools (e.g., using Tableau, Power BI) to present complex transportation data in actionable formats for stakeholders.
 </li>
 <li>
 Implement data-driven solutions for traffic optimization, such as real-time analytics for adaptive signal control, predictive modeling for demand management, and performance evaluation of transportation systems.
 </li>
 <li>
 Ensure data quality, reliability, and compliance through validation frameworks, anomaly detection, and integration with transportation-specific standards.
 </li>
 <li>
 Collaborate with traffic engineers, ITS specialists, and project stakeholders to translate data insights into operational improvements and policy recommendations.
 </li>
 <li>
 Mentor team members on analytics best practices and contribute to continuous improvement in data handling and analysis methodologies.
 
 
 
 </li>
 </ul>
 
 What Required Skills You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor's or Master&rsquo;s degree in Data Science, Computer Science, Transportation Engineering, or a related field.
 </li>
 <li>
 10+ years of experience in transportation data analytics, data management, or related fields.
 </li>
 <li>
 Expertise in big data processing technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, Power BI).
 </li>
 <li>
 Proficiency in statistical analysis, Python/R for data modeling, and SQL for querying large datasets.
 </li>
 <li>
 Experience implementing data-driven traffic optimization solutions, including predictive analytics and simulation-based insights.
 </li>
 <li>
 Strong problem-solving skills and ability to work independently in a fast-paced environment.
 
 
 
 </li>
 </ul>
 
 What Desired Skills You'll Bring
 
 
 
 <ul>
 <li>
 Experience with transportation-specific tools (e.g., SYNCHRO, VISSIM for traffic simulation integration) and real-time data processing (e.g., Kafka, Spark Streaming).
 </li>
 <li>
 Familiarity with data governance, security, and compliance in public sector transportation projects.
 </li>
 <li>
 Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) or transportation-related fields.
 
 
 
 </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!
 
 
 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>

Data Management / Analytics Expert

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!
When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with intelligent, diverse people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We&rsquo;ve got what you&rsquo;re looking for.
Job Description:
<div><div>Parsons is seeking a highly skilled and experienced Data Management / Analytics Expert to join our transportation technology team on a high-profile project in Saudi Arabia. This role is pivotal in leveraging big data to drive insights and optimizations for traffic management systems, enabling data-driven decision-making in large-scale urban transportation projects. The ideal candidate will have deep expertise in transportation data analytics, big data processing, visualization tools, and statistical analysis to support scalable solutions for traffic optimization.
What You'll Be Doing:
<ul><li>Design and implement data management strategies for transportation datasets, including ingestion, processing, and storage of traffic, sensor, and mobility data from diverse sources (e.g., ITS systems, APIs, sensors).
</li><li>Develop advanced analytics workflows to process big data, applying statistical models and machine learning techniques to derive insights for traffic flow, congestion prediction, and optimization.
</li><li>Build and maintain visualization dashboards and tools (e.g., using Tableau, Power BI) to present complex transportation data in actionable formats for stakeholders.
</li><li>Implement data-driven solutions for traffic optimization, such as real-time analytics for adaptive signal control, predictive modeling for demand management, and performance evaluation of transportation systems.
</li><li>Ensure data quality, reliability, and compliance through validation frameworks, anomaly detection, and integration with transportation-specific standards.
</li><li>Collaborate with traffic engineers, ITS specialists, and project stakeholders to translate data insights into operational improvements and policy recommendations.
</li><li>Mentor team members on analytics best practices and contribute to continuous improvement in data handling and analysis methodologies.
</li></ul>What Required Skills You'll Bring:
<ul><li>Bachelor's or Master&rsquo;s degree in Data Science, Computer Science, Transportation Engineering, or a related field.
</li><li>10+ years of experience in transportation data analytics, data management, or related fields.
</li><li>Expertise in big data processing technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau, Power BI).
</li><li>Proficiency in statistical analysis, Python/R for data modeling, and SQL for querying large datasets.
</li><li>Experience implementing data-driven traffic optimization solutions, including predictive analytics and simulation-based insights.
</li><li>Strong problem-solving skills and ability to work independently in a fast-paced environment.
</li></ul>What Desired Skills You'll Bring:
<ul><li>Experience with transportation-specific tools (e.g., SYNCHRO, VISSIM for traffic simulation integration) and real-time data processing (e.g., Kafka, Spark Streaming).
</li><li>Familiarity with data governance, security, and compliance in public sector transportation projects.
</li><li>Certifications in data analytics (e.g., Google Data Analytics, Microsoft Certified: Azure Data Scientist) or transportation-related fields.
</li></ul></div></div>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!
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>

Acuative Middle East

<div>
 
 
 Job Purpose
 
 
 
 Develop and lead comprehensive solution designs for data analytics platforms, driving innovation, ensuring optimal performance, and guiding technical teams in creating secure, scalable, and cost-effective systems tailored to data-intensive business needs. Provide presales support and lead proof of concept (POC) efforts to demonstrate technical feasibility and business value to clients.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 Solution Design &amp; Architecture
 
 
 <ul>
 <li>
 Architect end-to-end data analytics solutions, integrating tools such as Elastic Stack, Neo4j, and Splunk to meet functional and non-functional business requirements.
 </li>
 <li>
 Create detailed architecture documentation including system diagrams, data flows, and integration plans.
 </li>
 </ul>
 
 
 Stakeholder Engagement &amp; Presales Support
 
 
 <ul>
 <li>
 Collaborate with business and sales teams to understand customer requirements and align technical solutions accordingly.
 </li>
 <li>
 Lead presales technical engagements, including client workshops, product demonstrations, and responding to RFPs/RFIs.
 </li>
 <li>
 Deliver persuasive presentations to technical and non-technical audiences to communicate the value of proposed analytics solutions.
 </li>
 </ul>
 
 
 Proof of Concept (POC) Execution
 
 
 <ul>
 <li>
 Design, lead, and deliver POCs to validate architectural approaches and technologies for prospective clients.
 </li>
 <li>
 Define success criteria, oversee technical implementation, and gather feedback to iterate on proposed solutions.
 </li>
 </ul>
 
 
 Technology Strategy &amp; Innovation
 
 
 <ul>
 <li>
 Define appropriate technology stacks and tools for analytics solutions, maintaining a strong focus on cost-effectiveness, scalability, and future-proofing.
 </li>
 <li>
 Evaluate and integrate emerging technologies to enhance platform capabilities and differentiate solutions.
 </li>
 </ul>
 
 
 Security, Governance &amp; Compliance
 
 
 <ul>
 <li>
 Define and enforce best practices for security, data governance, and compliance, particularly in relation to analytics and visualization platforms.
 </li>
 <li>
 Assess and mitigate risks in data handling, storage, and analysis workflows.
 </li>
 </ul>
 
 
 Performance Management &amp; Optimization
 
 
 <ul>
 <li>
 Oversee system performance tuning and capacity planning for analytics workloads.
 </li>
 <li>
 Guide continuous improvement and post-deployment optimization efforts.
 </li>
 </ul>
 
 
 Vendor &amp; Partner Collaboration
 
 
 <ul>
 <li>
 Engage with third-party vendors and solution providers to evaluate technologies and manage integrations.
 </li>
 <li>
 Ensure compatibility and synergy between in-house systems and external platforms.
 </li>
 </ul>
 
 
 
 
 
 Experience and Qualifications
 
 
 
 
 Essential
 
 
 <ul>
 <li>
 
 Education
 
 : Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, or related field.
 </li>
 <li>
 
 Experience
 
 :
 </li>
 <li>
 7+ years in solution architecture, data engineering, or systems design with a strong focus on data analytics platforms.
 </li>
 <li>
 Demonstrated experience leading POCs from design to execution.
 </li>
 <li>
 Proven background in technical
 
 presales activities
 
 , including client interfacing and solution pitching.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 Expert knowledge of:
 </li>
 <li>
 
 Elastic Stack
 
 (Elasticsearch, Logstash, Kibana)
 </li>
 <li>
 
 Neo4j
 
 (graph databases)
 </li>
 <li>
 
 Splunk
 
 (search, monitoring, visualization)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 Relational and NoSQL databases (e.g., MongoDB, PostgreSQL)
 </li>
 <li>
 ETL/ELT pipelines, data integration strategies
 </li>
 <li>
 DevOps concepts including CI/CD and Infrastructure as Code
 </li>
 <li>
 High-availability, distributed analytics platforms
 </li>
 </ul>
 
 
 
 
 
 Preferred
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a technical or business field.
 </li>
 <li>
 Certifications such as:
 </li>
 <li>
 Elastic Certified Engineer
 </li>
 <li>
 Neo4j Certified Professional
 </li>
 <li>
 Splunk Architect
 </li>
 <li>
 Exposure to AI/ML-enhanced analytics platforms.
 </li>
 <li>
 Experience conducting technical workshops and mentoring engineering teams.
 </li>
 </ul>
 
 
 
 
 
 Competencies
 
 
 
 
 Behavioral
 
 
 <ul>
 <li>
 Strategic thinking with a consultative mindset
 </li>
 <li>
 Strong leadership and cross-functional collaboration
 </li>
 <li>
 Adaptable to dynamic technical and business environments
 </li>
 <li>
 Outstanding communication and client presentation skills
 </li>
 </ul>
 
 
 Technical
 
 
 <ul>
 <li>
 Proficient in designing secure, scalable data analytics architectures
 </li>
 <li>
 Skilled in solution evaluation, system integration, and troubleshooting
 </li>
 <li>
 Experienced in demonstrating business value through technology in presales settings
 </li>
 </ul>
</div>

Solutions Architect

Qiddiya Investment Company

<div>Qiddiya Investment Company is seeking a dynamic and results-driven Manager - Enterprise Data to lead our data management initiatives across the organization. In this pivotal role, you will be responsible for shaping our enterprise data strategy, governance, and architecture to ensure that high-quality data is available to drive key business decisions and enhance operational effectiveness.
Your expertise in data management and analytics will play a crucial role in promoting a data-driven culture within Qiddiya. You will collaborate with various stakeholders to establish data standards, practices, and processes that facilitate data integration, accessibility, and security across all departments.
Key Responsibilities:<ul>
<li>Lead the strategy, design, and implementation of enterprise data solutions that align with business objectives and enable data-driven decision-making.</li>
<li>Oversee the integration of SAP modules (HR, Finance, Procurement, Supply Chain) with enterprise data platforms (e.g., GCP, Azure, AWS), ensuring scalable and efficient data pipelines.</li>
<li>Develop frameworks and solutions to extract, model, and manage data from SAP table structures, providing a single source of truth across enterprise domains.</li>
<li>Collaborate with stakeholders across HR, Finance, and Procurement to identify pain points, data requirements, and opportunities for process and reporting optimization.</li>
<li>Define and implement governance practices specific to enterprise data, ensuring compliance with regulatory requirements, data privacy, and quality standards.</li>
<li>Lead initiatives on enterprise data cataloging, business glossary creation, and definition of critical data elements (CDEs) for SAP and related systems.</li>
<li>Drive advanced analytics and reporting capabilities using enterprise data, with a focus on predictive insights, automation, and self-service enablement.</li>
<li>Partner with IT to ensure SAP data integration workflows are reliable, secure, and optimized for performance at scale.</li>
<li>Manage enterprise data budgets, RFPs, vendor relationships, and contracts for SAP-related tools, integration platforms, and data services.</li>
<li>Serve as a subject matter expert in SAP enterprise data, providing strategic guidance and mentorship to teams across business and technical functions.</li>
<li>Foster a culture of collaboration, innovation, and continuous improvement in enterprise data management.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Science, Business Administration, or a related field.</li>
<li>6+ years of experience in enterprise data management, with a focus on SAP systems and cross-domain integration.</li>
<li>Strong expertise in SAP modules (HR, Finance, Procurement, Supply Chain) and deep knowledge of SAP table structures and data models.</li>
<li>Proven experience in SAP data extraction, integration with data platforms (GCP, Azure, AWS), and ETL/ELT pipeline development.</li>
<li>Proficiency in data visualization tools (e.g., Power BI, Tableau) and ability to translate enterprise data into business insights.</li>
<li>Solid understanding of data governance, regulatory compliance, and enterprise data quality standards.</li>
<li>Demonstrated business acumen in HR, Finance, and Procurement processes, with the ability to translate operational requirements into data solutions.</li>
<li>Experience in predictive analytics, automation, and AI-driven insights within enterprise domains is an advantage.</li>
<li>Strong leadership, communication, and stakeholder management skills, capable of influencing at executive levels and across cross-functional teams.</li>
<li>Track record of managing budgets, vendor contracts, and enterprise solution delivery.</li>
<li>Demonstrated ability to lead and mentor technical and business-focused data teams, fostering a high-performance culture.</li>
</ul>Benefits
Join Qiddiya's team and enjoy a dynamic work environment that offers growth opportunities, a collaborative culture, and the chance to make a significant impact as our future Playmaker !</div>

Manager - Enterprise Data

Qiddiya | القدية

<div>
 Qiddiya Investment Company is seeking a dynamic and results-driven Manager - Enterprise Data to lead our data management initiatives across the organization. In this pivotal role, you will be responsible for shaping our enterprise data strategy, governance, and architecture to ensure that high-quality data is available to drive key business decisions and enhance operational effectiveness.
 
 
 Your expertise in data management and analytics will play a crucial role in promoting a data-driven culture within Qiddiya. You will collaborate with various stakeholders to establish data standards, practices, and processes that facilitate data integration, accessibility, and security across all departments.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Lead the strategy, design, and implementation of enterprise data solutions that align with business objectives and enable data-driven decision-making
 </li>
 <li>
 Oversee the integration of SAP modules (HR, Finance, Procurement, Supply Chain) with enterprise data platforms (e.g., GCP, Azure, AWS), ensuring scalable and efficient data pipelines
 </li>
 <li>
 Develop frameworks and solutions to extract, model, and manage data from SAP table structures, providing a single source of truth across enterprise domains
 </li>
 <li>
 Collaborate with stakeholders across HR, Finance, and Procurement to identify pain points, data requirements, and opportunities for process and reporting optimization
 </li>
 <li>
 Define and implement governance practices specific to enterprise data, ensuring compliance with regulatory requirements, data privacy, and quality standards
 </li>
 <li>
 Lead initiatives on enterprise data cataloging, business glossary creation, and definition of critical data elements (CDEs) for SAP and related systems
 </li>
 <li>
 Drive advanced analytics and reporting capabilities using enterprise data, with a focus on predictive insights, automation, and self-service enablement
 </li>
 <li>
 Partner with IT to ensure SAP data integration workflows are reliable, secure, and optimized for performance at scale
 </li>
 <li>
 Manage enterprise data budgets, RFPs, vendor relationships, and contracts for SAP-related tools, integration platforms, and data services
 </li>
 <li>
 Serve as a subject matter expert in SAP enterprise data, providing strategic guidance and mentorship to teams across business and technical functions
 </li>
 <li>
 Foster a culture of collaboration, innovation, and continuous improvement in enterprise data management
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, Business Administration, or a related field
 </li>
 <li>
 6+ years of experience in enterprise data management, with a focus on SAP systems and cross-domain integration
 </li>
 <li>
 Strong expertise in SAP modules (HR, Finance, Procurement, Supply Chain) and deep knowledge of SAP table structures and data models
 </li>
 <li>
 Proven experience in SAP data extraction, integration with data platforms (GCP, Azure, AWS), and ETL/ELT pipeline development
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Power BI, Tableau) and ability to translate enterprise data into business insights
 </li>
 <li>
 Solid understanding of data governance, regulatory compliance, and enterprise data quality standards
 </li>
 <li>
 Demonstrated business acumen in HR, Finance, and Procurement processes, with the ability to translate operational requirements into data solutions
 </li>
 <li>
 Experience in predictive analytics, automation, and AI-driven insights within enterprise domains is an advantage
 </li>
 <li>
 Strong leadership, communication, and stakeholder management skills, capable of influencing at executive levels and across cross-functional teams
 </li>
 <li>
 Track record of managing budgets, vendor contracts, and enterprise solution delivery
 </li>
 <li>
 Demonstrated ability to lead and mentor technical and business-focused data teams, fostering a high-performance culture
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Join Qiddiya's team and enjoy a dynamic work environment that offers growth opportunities, a collaborative culture, and the chance to make a significant impact as our future Playmaker !
</div>

Sanabil Venture Studio

<div>
 
 About Us:
 
 
 
 Sanabil Venture Studio, a partnership between Sanabil Investments and Stryber, merges top-tier talent, seasoned founders, and robust funding to propel startups to unicorn status. Leveraging a blend of industry, technology, and startup expertise, we generate and evaluate visionary ideas, and take them from idea to building and launching MVPs. If an MVP we build proves to be successful, we provide targeted seed funding, ensuring each venture is equipped with the financial foundation to meet its ambitious goals. Beyond early stage development and funding, we provide ongoing support to our portfolio ventures and founders in their pursuit of scaling their startups.
 
 
 
 About Miza
 
 
 
 Miza is a cutting-edge digital wealth management platform designed to provide HNWI (High-Net-Worth Individuals) with seamless access to diversified investment opportunities. Operating primarily through a mobile application, Miza enables investors to allocate capital into model portfolios tailored to different risk and return preferences.
 
 
 As we scale, we are looking for a Director of Growth to drive user acquisition, activation, and retention&mdash;ensuring a seamless experience for investors from discovery to investment.
 
 
 Role Overview
 
 
 The Cofounder &amp; Chief of Growth will be responsible for developing and executing data-driven acquisition strategies to attract and onboard HNWI investors onto Miza&rsquo;s platform. This role requires a Direct-to-Consumer (D2C) expert with a proven track record in fintech, wealth management, or a similar sector. The ideal candidate is well-versed in growth marketing, performance marketing, conversion optimization, and digital onboarding tools to create a frictionless user journey.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Growth Strategy &amp; Execution
 </li>
 <li>
 Develop and execute multi-channel growth strategies to attract and retain HNWI investors.
 </li>
 <li>
 Own and optimize the funnel from awareness to conversion, ensuring a seamless onboarding process.
 </li>
 <li>
 Implement A/B testing, analytics, and user segmentation to improve conversion rates.
 </li>
 <li>
 Investor Acquisition &amp; Performance Marketing
 </li>
 <li>
 Leverage paid and organic performance marketing strategies (Google Ads, LinkedIn, Meta, SEO, referrals).
 </li>
 <li>
 Partner with wealth influencers, financial advisors, and high-net-worth networks to drive credibility and referrals.
 </li>
 <li>
 Manage retargeting campaigns to re-engage potential investors and optimize marketing spend.
 </li>
 <li>
 Digital Onboarding &amp; Conversion Optimization
 </li>
 <li>
 Optimize Miza&rsquo;s mobile app onboarding flow to ensure effortless sign-up and investment activation.
 </li>
 <li>
 Implement AI-driven personalization to enhance investor experience and maximize conversion rates.
 </li>
 <li>
 Identify and integrate automation tools (e.g., CRM, chatbots, behavioral triggers) for investor engagement.
 </li>
 <li>
 Product-Led Growth &amp; User Engagement
 </li>
 <li>
 Work closely with the product team to align growth initiatives with new features and investor behavior.
 </li>
 <li>
 Leverage data analytics to enhance user retention and engagement through push notifications, email sequences, and in-app messaging.
 </li>
 <li>
 Develop referral and incentive programs to drive viral adoption among HNWIs.
 </li>
 <li>
 Partnerships &amp; Market Expansion
 </li>
 <li>
 Establish strategic partnerships with banks, fintech platforms, and investment firms to expand Miza&rsquo;s reach.
 </li>
 <li>
 Lead thought leadership initiatives (events, webinars, content marketing) targeting the investor community.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Proven track record in a similar Chief of Growth, Growth Marketing, or Digital Acquisition role within fintech, wealth management, or investment platforms.
 </li>
 <li>
 Experience in D2C growth, ideally working with high-net-worth clients or premium financial services.
 </li>
 <li>
 Deep understanding of digital marketing, performance marketing, and conversion optimization strategies.
 </li>
 <li>
 Hands-on experience with growth analytics tools (Google Analytics, Mixpanel, Amplitude, etc.).
 </li>
 <li>
 Strong expertise in mobile app user acquisition and onboarding optimization.
 </li>
 <li>
 Familiarity with AI-driven marketing tools, automation platforms, and CRM systems.
 </li>
 <li>
 Ability to analyze data, identify trends, and make data-driven decisions to drive ROI.
 </li>
 <li>
 Strong network in the wealth management, fintech, or investment space is a plus.
 </li>
 </ul>
</div>

Chief Growth Officer & Cofounder - WealthTech

<div>
 
 Introduction
 
 
 
 <ul>
 <li>
 Strategic Solution Design &amp; Road mapping:
 </li>
 <li>
 Define and maintain the strategic roadmap for the organization's HR digital transformation, utilizing SAP SuccessFactors and relevant SAP S/4HANA HR capabilities.
 </li>
 <li>
 Lead the architectural design of complex, integrated HR solutions, covering areas such as Core HR, Payroll, Time Management, Talent Management, Learning, Recruiting, Onboarding, and HR Analytics.
 </li>
 <li>
 Evaluate new SAP HR/SuccessFactors innovations and emerging technologies (e.g., AI/ML in HR, chatbots, intelligent automation) to identify opportunities for process optimization and business value.
 </li>
 <li>
 Develop comprehensive solution blueprints, reference architectures, and technical specifications for HR implementations.
 </li>
 <li>
 Business Partnership &amp; Advisory:
 </li>
 <li>
 Collaborate closely with C-level executives, HR leadership, and business stakeholders to understand their strategic objectives, operational challenges, and translate them into effective SAP HR solutions.
 </li>
 <li>
 Act as a trusted advisor, providing expert guidance on SAP HR/SuccessFactors capabilities, best practices, and industry trends to optimize human capital management.
 </li>
 <li>
 Facilitate workshops, conduct architectural assessments, and present solution concepts to diverse audiences.
 </li>
 <li>
 Implementation Oversight &amp; Governance:
 </li>
 <li>
 Provide architectural governance and oversight throughout the project lifecycle of SAP HR/SuccessFactors implementations, ensuring adherence to design principles, standards, and best practices.
 </li>
 <li>
 Guide functional and technical teams on complex design decisions, integration strategies, data migration, and cutover planning specific to HR processes.
 </li>
 <li>
 Ensure seamless integration between SAP SuccessFactors modules, SAP S/4HANA (FI/CO, MM for HR-related processes), external payroll providers, and other enterprise applications via SAP BTP.
 </li>
 <li>
 Drive a "clean core" approach where applicable, leveraging standard functionalities and side-by-side extensions for custom requirements.
 </li>
 <li>
 Performance, Scalability &amp; Security:
 </li>
 <li>
 Design solutions that ensure optimal performance, scalability, and stability of SAP HR/SuccessFactors systems, supporting a global workforce and complex HR operations.
 </li>
 <li>
 Identify and mitigate architectural risks, technical debt, and potential integration challenges within the HR landscape.
 </li>
 <li>
 Ensure data privacy (e.g., GDPR, local regulations), security, and compliance requirements are built into all HR solutions.
 </li>
 <li>
 Leadership &amp; Mentorship:
 </li>
 <li>
 Provide technical leadership and architectural guidance to solution architects, functional consultants, and development teams within the HR domain.
 </li>
 <li>
 Mentor junior team members, fostering their growth in SAP HR/SuccessFactors expertise and architectural principles.
 </li>
 <li>
 Drive knowledge sharing, collaboration, and continuous improvement within the SAP HR community.
 
 
 </li>
 </ul>
 
 Your Role And Responsibilities
 
 
 
 The SAP Human Resources (HR) Solution Architect is a senior expert responsible for designing, optimizing, and implementing comprehensive solutions across the entire employee lifecycle. This role primarily leverages SAP's HR portfolio, including SAP SuccessFactors (Employee Central, Recruiting, Onboarding, Learning, Performance &amp; Goals, Compensation, Succession &amp; Development, Payroll), SAP S/4HANA HR (for on-premise or hybrid scenarios), and relevant SAP Business Technology Platform (BTP) services for HR extensions and integrations.
 
 
 The architect will serve as a strategic advisor to HR leadership and business stakeholders, translating complex human capital management challenges into efficient, integrated, and sustainable SAP solutions that enhance employee experience, streamline HR operations, and support strategic workforce planning.
 
 
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Experience:
 </li>
 <ul>
 <li>
 [12-15]+ years of progressive experience in SAP consulting and implementation, with a dedicated focus on Human Resources solutions.
 </li>
 <li>
 [5-7]+ years in a lead architect or solution architect role specializing in SAP HR/SuccessFactors.
 </li>
 <li>
 Proven experience leading multiple full lifecycle SAP SuccessFactors implementations across various modules.
 </li>
 <li>
 Extensive experience with various SAP HR solutions, including:
 </li>
 <ul>
 <li>
 SAP SuccessFactors: Deep expertise in Employee Central is critical. Strong experience with at least 3-4 other modules (e.g., Recruiting, Onboarding, Performance &amp; Goals, Compensation, Learning, Payroll).
 </li>
 <li>
 SAP S/4HANA HR (or ECC HR): Understanding of core HR processes and integration points with SuccessFactors.
 </li>
 <li>
 Familiarity with SAP BTP services relevant to HR (e.g., Integration Suite for connecting SuccessFactors to other systems, Work Zone for employee experience portals).
 </li>
 </ul>
 </ul>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Deep functional and technical understanding of SAP SuccessFactors modules and their integration capabilities.
 </li>
 <li>
 Proficiency in SAP Cloud Platform Integration (CPI) for SuccessFactors integration (e.g., EC to Payroll, EC to ERP, third-party integrations).
 </li>
 <li>
 Strong understanding of HR master data management, organizational management, and payroll processes.
 </li>
 <li>
 Experience with SAP Analytics Cloud for People Analytics or other HR reporting tools.
 </li>
 <li>
 Knowledge of HR data security and privacy principles.
 </li>
 </ul>
 <li>
 Certifications &amp; Methodologies:
 </li>
 <ul>
 <li>
 Relevant SAP SuccessFactors certifications (e.g., Employee Central, Integration Center).
 </li>
 <li>
 Project management certifications (PMP, Agile Scrum Master) are a plus.
 </li>
 <li>
 Enterprise Architecture certifications (e.g., TOGAF) desirable.
 </li>
 <li>
 Proficiency in Agile and SAP Activate methodologies.
 </li>
 </ul>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Exceptional analytical, conceptual, and problem-solving skills to address complex HR challenges.
 </li>
 <li>
 Superior communication, negotiation, and presentation skills, with the ability to influence and collaborate effectively with all levels of stakeholders.
 </li>
 <li>
 Strong leadership capabilities with a proven ability to guide and mentor technical and functional teams.
 </li>
 <li>
 Excellent business acumen and a strong understanding of end-to-end HR processes across various industries.
 </li>
 </ul>
 </ul>
</div>

SAP Principal Functional and Solution Consultant - Human Capital Management and SuccessFactors

Explore 1974+ Data management analytics expert in Riyadh this October. Find roles across top companies and apply now to boost your career.

1974 data management analytics expert jobs IN Riyadh

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SAP Principal Functional and Solution Consultant - Human Capital Management and SuccessFactors