account manager

data analyst

senior account executive

technical account manager

account executive

analytics senior manager

NeoStats

<div><div><div><div><div>Job specification: As a Senior Analytics Manager you will be at the forefront of driving data-driven decision-making across the organization.
</div></div></div></div><div><div><h5 class="jobSectionHeader">About the Job</h5>

NeoStats is a new age, Data &amp; Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into world-class, data-driven organizations. Established in 2022 to provide End to End Data &amp; Analytics Services, we are headquartered out of UAE, with bases in India &amp; UK. Comprising industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.

We believe in driving innovation through cutting-edge technologies and insights. Our diverse team of data scientists, engineers, and analysts collaborate closely to deliver high-impact solutions to our clients&rsquo; most complex challenges. As a Senior Analytics Manager, you will be at the forefront of driving data-driven decision-making across the organization and building advanced machine learning models that power our transformative solutions. 

<h5 class="jobSectionHeader">
Responsibilities</h5>
<ul><li>Work with stakeholders throughout the organization to understand challenges, identify opportunities to make data-driven banking solutions.</li>
<li>Perform in-depth analysis of large-scale structured and unstructured datasets to identify patterns, trends, and correlations.</li>
<li>Drive business decision-making and optimize key performance indicators.</li>
<li>Conduct exploratory data analysis and hypothesis testing to gain deep insights into various analysis areas like customer behavior, market dynamics, operational efficiency, etc.</li>
<li>Design and develop advanced machine learning models, algorithms, and statistical methodologies to increase and optimize customer experiences, revenue generation using cross/up-sell products, and other business outcomes.</li>
<li>Analyze and optimize Digital Journeys and provide insights.</li>
<li>Build scalable and efficient machine learning pipelines to preprocess, transform, and analyze data for model development.</li>
<li>Deploy machine learning models into production in collaboration with relative Engineers.</li>
<li>Conduct research and experimentation to enhance existing models and drive innovation within the organization.</li>
<li>Fostering a collaborative and knowledge-sharing culture within the team.</li>
<li>Collaborate closely with cross-functional teams and business stakeholders, to understand their requirements.</li>
</ul><div></div><h5 class="jobSectionHeader">Candidate Profile</h5>
<ul><li>10+ years of Banking experience in a data science role, with a focus on building and deploying machine learning models and algorithms.</li>
<li>Bachelor&rsquo;s or master&rsquo;s degree in one of Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math.</li>
<li>Proficiency in SQL and Python; familiarity with SAS, Scala, or Spark is a plus.</li>
<li>Strong understanding of statistical concepts and methodologies and demonstrated experience in applying machine learning techniques.</li>
<li>Excellent problem-solving skills.</li>
<li>Experience with any major Cloud provider (e.g., Azure, GCP, AWS, etc.) is a plus.</li>
<li>Excellent communication &amp; collaboration skills, and fluency in English.</li>
</ul><div></div><h5 class="jobSectionHeader">What we offer:</h5>
<ul><li>Competitive Salary and Benefits</li>
<li>Opportunity to be part of a fast-paced and growing startup. Grow your career with the company</li>
<li>Ownership &ndash; You will own your initiative and be given specific responsibilities</li>
<li>Continuous coaching &amp; mentoring &ndash; You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.</li>
<li>Dynamic and respectful work environment &ndash; we truly value you</li>
</ul><div><h5 class="jobSectionHeader">Location &ndash; Dubai (UAE)</h5></div></div></div></div>

Senior Analytics Manager

Huda Beauty

<div>Who We Are: At Huda Beauty, our Vision is to lead in creating a democratized beauty industry where power is given back to people to define, create, and enjoy beauty for themselves! Launched by award-winning beauty powerhouse Huda Kattan in 2013, Huda Beauty is one of the world&rsquo;s fastest-growing beauty brands. As a company, we are fueled by purpose and not profit; this allows us to approach things differently so that we can create products, content, and a community like no other. A lot has changed since our launch in 2013, but something that will forever remain at the core of Huda Beauty is our focus on business excellence and our unwavering passion for kindness!
Summary: The Senior Manager, Social Media Analytics leads the social analytics function, overseeing the performance measurement of all social media activities and delivering strategic insights that drive engagement, brand equity, and business impact.
This role combines deep analytical expertise with a strong understanding of social trends, platform algorithms, and content performance. You will manage a team of analysts and collaborate cross-functionally with Social Strategy, Paid Media, Creative, Influencer, and Brand Marketing teams to influence decision-making and shape content strategy through data.
Essential Duties and Responsibilities:
Analytics Strategy &amp; Leadership<ul>
<li>
Lead the development and execution of the social analytics roadmap.</li>
<li>Manage and mentor a team of analysts, fostering a culture of data-driven decision-making.</li>
<li>Act as the primary analytics partner to senior leadership across Social, Brand, and Paid Media.</li>
</ul>
Data Analysis and Reporting<ul>
<li>
Oversee the creation of dashboards and reports that consolidate data from multiple platforms.</li>
<li>Deliver recurring (weekly, monthly, campaign-based) performance reports with actionable insights.</li>
<li>Translate data into strategic recommendations that influence content, media, and brand decisions.</li>
</ul>
Social Listening and Competitive Intelligence<ul>
<li>
Lead social listening efforts using tools like Sprinklr, Dash Hudson, or Brandwatch.</li>
<li>Identify emerging trends, competitive shifts, and cultural moments that inform brand activation.</li>
<li>Conduct benchmark analysis against competitors and industry leaders.</li>
</ul>
Campaign Evaluation<ul>
<li>
Define success metrics in partnership with social and paid teams.</li>
<li>Evaluate campaign effectiveness and recommend optimizations to improve ROI.</li>
<li>Integrate organic and paid performance data for unified measurement.</li>
</ul>
Audience Insights<ul>
<li>
Develop audience profiles using behavioral, demographic, and psychographic data.</li>
<li>Identify new segments and opportunities for targeted engagement.</li>
<li>Provide insights to inform influencer strategy, creative direction, and platform prioritization.</li>
</ul>
Cross-Functional Collaboration<ul>
<li>
Present insights to senior stakeholders and guide teams in applying data to creative and strategic decisions.</li>
<li>Collaborate with Brand, Creative, E-commerce, and PR to ensure alignment on KPIs and reporting.</li>
<li>Champion a data-first culture across the marketing and social ecosystem.</li>
</ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in Marketing, Communications, Business, Data Analytics, or related field.</li></ul><ul>
<li>8+ years of experience in social media analytics or digital insights, with at least 2 years in a leadership role.</li>
<li>Proficiency in analytics platforms (e.g., Power BI).</li>
<li>Advanced Excel and data visualization skills.</li>
<li>Strong understanding of platform algorithms, engagement metrics, and KPIs.</li>
<li>Excellent analytical, presentation, and communication skills.</li>
<li>Proven ability to translate complex data into clear, actionable insights.</li>
<li>Experience working in a fast-paced, cross-functional environment.</li>
</ul>
Benefits<ul>
<li>
Monthly &ldquo;Self Love Days&rdquo; &ndash; at company discretion</li>
<li>Premium Medical/Dental/Vision coverage for employee plus dependents</li>
<li>Monthly coaching sessions with our in-house Success Coach</li>
<li>Employee discounts on all Huda Beauty products</li>
<li>Quarterly product gifting</li>
</ul>
Huda Beauty is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</div>

Senior Manager, Social Media Analytics

Shamal Holding

As Shamal Holding continues to grow, we re in search of a Senior Manager Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.

Responsibilities

<ul>
 <li>Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li>
 <li>Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li>
 <li>Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li>
 <li>Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li>
 <li>Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li>
</ul>

 IT Management and Governance:

<ul>
 <li>Helps establish governance structure where decision-making is weighted toward empowered teams.</li>
 <li>Lead and manage the Data Analytics squads and outcomes.</li>
 <li>Prepare and monitor IT capital and operational budgets for assigned portfolio.</li>
 <li>Execute through alignment to the new digital operating model and working with cross functional squads orchestrating continuous value delivery through release planning increments.</li>
 <li>Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li>
</ul>

IT Operations: 

<ul>
 <li>Direct the planning, deployment and management of the data analytics initiatives and services.</li>
 <li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li>
 <li>Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li>
 <li>Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it s infrastructure.</li>
</ul>

Data Architecture:

<ul>
 <li>Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li>
</ul>

IT Security: 

<ul>
 <li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li>
 <li>Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li>
</ul>

Data Management:

<ul>
 <li>In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li>
 <li>Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li>
</ul>

 People Management Responsibilities:

<ul>
 <li>Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li>
 <li>In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li>
 <li>Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee s performance.</li>
 <li>Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li>
</ul>

Senior Manager - Data & Analytics

<div>
 Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate.
 
 
 As Shamal Holding continues to grow, we&rsquo;re in search of a
 
 Senior Manager - Data and Analytics
 
 . In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
 
 
 
 Strategic Responsibilities
 
 
 
 <ul>
 <li>
 Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.
 </li>
 <li>
 Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.
 </li>
 <li>
 Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.
 </li>
 <li>
 Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.
 </li>
 <li>
 Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.
 
 
 
 </li>
 </ul>
 
 IT Management and Governance
 
 
 
 <ul>
 <li>
 Helps establish governance structure where decision-making is weighted toward empowered teams.
 </li>
 <li>
 Lead and manage the Data Analytics squads and outcomes.
 </li>
 <li>
 Prepare and monitor IT capital and operational budgets for assigned portfolio.
 </li>
 <li>
 Execute through alignment to the new digital operating model and working with cross&hyphen;functional squads orchestrating continuous value delivery through release planning increments.
 </li>
 <li>
 Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.
 
 
 
 </li>
 </ul>
 
 IT Operations
 
 
 
 <ul>
 <li>
 Direct the planning, deployment and management of the data analytics initiatives and services.
 </li>
 <li>
 Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.
 </li>
 <li>
 Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.
 </li>
 <li>
 Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.
 
 
 
 </li>
 </ul>
 
 Data Architecture
 
 
 
 <ul>
 <li>
 Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.
 
 
 
 </li>
 </ul>
 
 IT Security
 
 
 
 <ul>
 <li>
 Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.
 </li>
 <li>
 Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).
 
 
 
 </li>
 </ul>
 
 Data Management
 
 
 
 <ul>
 <li>
 In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.
 </li>
 <li>
 Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.
 
 
 
 </li>
 </ul>
 
 People Management Responsibilities
 
 
 
 <ul>
 <li>
 Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.
 </li>
 <li>
 In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.
 </li>
 <li>
 Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.
 </li>
 <li>
 Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.
 </li>
 <li>
 Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.
 </li>
 <li>
 MBA or related advanced business degrees, are preferable
 </li>
 <li>
 A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.
 </li>
 <li>
 Experience as a Data Analytics Lead or equivalent position in a global environment.
 </li>
 <li>
 Experience to set and communicate a clear vision, aligning data initiatives with business goals.
 </li>
 <li>
 Proficiency in developing comprehensive data strategies to drive decision-making and innovation.
 </li>
 <li>
 Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.
 </li>
 <li>
 Skill in working with diverse teams and departments to leverage data for organizational improvement.
 </li>
 <li>
 Effective communication of complex insights to non-technical stakeholders.
 </li>
 <li>
 Experience in building and leading high-performing data teams.
 </li>
 <li>
 Understanding of industry trends, competitive landscapes, and business drivers.
 </li>
 <li>
 Ability to identify challenges and design data-driven solutions to address them.
 </li>
 <li>
 Extensive experience in scrum/project management/delivery management or an associated area.
 </li>
 <li>
 An entrepreneurial mindset; able and interested to pursue new business channels and models.
 
 
 
 </li>
 </ul>
 
 For more information about Shamal, please visit our LinkedIn page
 
 https//www.linkedin.com/company/shamalholding/
 
 
 
 Note
 
 
 
 Due to a high influx of profiles, only shortlisted candidates will be contacted.
</div>

Shamal LLC

<div>Overview:

Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate. 
As Shamal Holding continues to grow, we&rsquo;re in search of a Senior Manager &ndash; Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
Responsibilities:

Strategic Responsibilities:<ul><li>
Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li><li>
Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li><li>
Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li><li>
Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li><li>
Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li></ul>
 IT Management and Governance:<ul><li>
Helps establish governance structure where decision-making is weighted toward empowered teams.</li><li>
Lead and manage the Data Analytics squads and outcomes.
</li><li>Prepare and monitor IT capital and operational budgets for assigned portfolio.
</li><li>Execute through alignment to the new digital operating model and working with cross&#8208;functional squads orchestrating continuous value delivery through release planning increments.</li><li>
Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li></ul>
IT Operations:
<ul><li>Direct the planning, deployment and management of the data analytics initiatives and services.
</li><li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li><li>
Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li><li>
Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.</li></ul>
Data Architecture:<ul><li>
Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li></ul>
IT Security:
<ul><li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li><li>
Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li></ul>
Data Management:<ul><li>
In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li><li>
Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li></ul>
 People Management Responsibilities:<ul><li>
Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li><li>
Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.</li><li>
Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.</li><li>
MBA or related advanced business degrees, are preferable</li><li>
A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.</li><li>
Experience as a Data Analytics Lead or equivalent position in a global environment.</li><li>
Experience to set and communicate a clear vision, aligning data initiatives with business goals.</li><li>
Proficiency in developing comprehensive data strategies to drive decision-making and innovation.</li><li>
Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.</li><li>
Skill in working with diverse teams and departments to leverage data for organizational improvement.</li><li>
Effective communication of complex insights to non-technical stakeholders.</li><li>
Experience in building and leading high-performing data teams.</li><li>
Understanding of industry trends, competitive landscapes, and business drivers.</li><li>
Ability to identify challenges and design data-driven solutions to address them.</li><li>
Extensive experience in scrum/project management/delivery management or an associated area.</li><li>
An entrepreneurial mindset; able and interested to pursue new business channels and models.</li></ul><div></div> 
For more information about Shamal, please visit our LinkedIn page: https://www.linkedin.com/company/shamalholding/ 
Note:
<div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

Client of Tandem Search

Job Title: Technical Manager Data &amp; Artificial Intelligence (AI) 
Location: Dubai, UAE/Riyadh, KSA 
Firm: Big4 
 Role Overview 
We are seeking a Data &amp; AI Technical Manager to play a key role in designing, implementing, and managing advanced data and AI solutions for our clients. This role combines deep technical expertise with strong consulting skills to deliver innovative, scalable, and business-driven outcomes. As a Technical Manager, you will work with cross-functional teams, manage solution delivery, and collaborate closely with senior stakeholders to ensure the successful execution of Data &amp; AI transformation programs.
 Key Responsibilities 
<ul>
 <li>
 Solution Design &amp; Delivery 
<ul>
 <li>
 Lead the design, architecture, and implementation of data and AI platforms, pipelines, and solutions.
 </li>
 <li>
 Develop scalable models and systems in machine learning, AI, advanced analytics, and data engineering.
 </li>
 <li>
 Ensure solutions align with client objectives, compliance requirements, and industry best practices.
 </li>
 <li>
 Drive end-to-end project delivery, from requirements gathering to deployment and handover.
 </li>
 </ul>
 </li>
 <li>
 Technical Leadership 
<ul>
 <li>
 Provide subject matter expertise in cloud ecosystems (Azure, AWS, GCP), data engineering frameworks, and AI/ML tools.
 </li>
 <li>
 Guide technical teams on model development, MLOps, data governance, and responsible AI practices.
 </li>
 <li>
 Stay current with emerging AI and data technologies to embed innovation in client solutions.
 </li>
 </ul>
 </li>
 <li>
 Client Engagement 
<ul>
 <li>
 Translate business requirements into technical solutions, ensuring business value is realized.
 </li>
 <li>
 Work closely with senior stakeholders and C-level executives to explain complex technical concepts in simple, actionable terms.
 </li>
 <li>
 Support pre-sales and business development efforts by preparing proposals, demos, and solution presentations.
 </li>
 </ul>
 </li>
 <li>
 Team &amp; Practice Development 
<ul>
 <li>
 Manage and mentor data scientists, engineers, and analysts in delivering high-quality client engagements.
 </li>
 <li>
 Contribute to capability building, internal knowledge sharing, and the growth of the Data &amp; AI practice.
 </li>
 <li>
 Collaborate with global technology partners (Microsoft, AWS, Google, OpenAI) to bring cutting-edge solutions to market.
 </li>
 </ul>
 </li>
</ul>
 Qualifications &amp; Experience 
<ul>
 <li>
 Education: Bachelor s degree in Computer Science, Engineering, Data Science, or related field; Master s preferred.
 </li>
 <li>
 Experience: 8 12 years in data engineering, advanced analytics, or AI/ML, with at least 3 5 years in a managerial/technical leadership role.
 </li>
 <li>
 Proven track record in delivering end-to-end data and AI projects within large organizations or consulting firms.
 </li>
 <li>
 Strong knowledge of data platforms (Azure Synapse, Snowflake, BigQuery, Databricks), machine learning frameworks (TensorFlow, PyTorch, Scikit-learn), and data governance tools.
 </li>
 <li>
 Hands-on experience with ETL pipelines, APIs, MLOps, and cloud-native architectures.
 </li>
 <li>
 Excellent communication and stakeholder management skills, with experience presenting to senior executives.
 </li>
</ul>
 Skills &amp; Competencies 
<ul>
 <li>
 Strong technical expertise in data architecture, ML model development, and cloud-native solutions.
 </li>
 <li>
 Ability to manage complex, multi-disciplinary projects under tight timelines.
 </li>
 <li>
 Demonstrated leadership in team management and mentoring.
 </li>
 <li>
 Passion for innovation, problem-solving, and applying AI to real-world business challenges.
 </li>
</ul>

Data & AI Technical Manager

Arthur Page Society

Page is seeking to hire a Senior Manager of Digital Experience &amp; Insights. This is a full-time, remote position reporting to the Vice President of Membership &amp; Brand Experience. The role is expected to travel approximately 3&ndash;5 times annually, primarily for Page and other industry events.The Senior Manager of Digital Experience &amp; Insights supports the strategy, integration, and optimization of Page&rsquo;s digital ecosystem to deliver a seamless and personalized member and brand experience. This leader oversees the website, mobile app, CRM, marketing automation, and analytics, while also supporting the development of Page&rsquo;s AI-enabled platforms. They ensure that every digital touchpoint aligns with member needs, brand standards, and data-driven insights.The role also plays a key part in experimentation, AI implementation, and cross-team collaboration to enable a more intelligent, responsive digital environment.Key ResponsibilitiesDigital Strategy &amp; Platforms<ul><li>Support the continued growth of Page&rsquo;s digital experience ecosystem: website, app, CRM, email automation, and analytics.</li><li>Coordinate user experience optimization to ensure a cohesive brand and member experience across all digital touchpoints.</li><li>Manage day-to-day SEO and Generative Engine Optimization (GEO) to improve Page&rsquo;s digital discoverability and ensure content is optimized for both traditional search engines and AI-driven platforms.</li><li>Manage platform integrations across systems (e.g., event registration, AMS, payment tools).</li></ul>Content &amp; Experience<ul><li>Collaborate with Comms, Membership, and TL/PD teams to improve content discoverability, personalization, and delivery.</li><li>Contribute to digital platform governance, accessibility, and user-centered design.</li></ul>AI &amp; Innovation<ul><li>Partner with the Operations/Data team on the design and implementation of AI tools (e.g., member agents, personalization engines, tagging systems).</li><li>Evaluate and implement AI-driven tools (e.g., chatbots, generative content support, predictive analytics) that enhance member journeys and staff efficiency</li><li>Support the development of guidelines for ethical AI use in content delivery, personalization, and engagement, ensuring alignment with Page&rsquo;s corporate character and values</li><li>Contribute to AI content classification and automation frameworks with internal and external collaborators.</li><li>Stay current on martech, AI, and digital experience business trends and thought leadership discussions to guide organizational innovation.</li></ul>Measurement &amp; Insights<ul><li>Supports the definition and tracking of metrics related to digital engagement, content performance, and user behavior.</li><li>Design and maintain dashboards that integrate SEO, GEO, and engagement analytics, translating insights into actionable recommendations</li><li>Translate analytics into actionable recommendations for improved digital experience.</li></ul>Management<ul><li>Supervise digital vendors, ensuring performance, security, and compliance.</li><li>Manage and develop the Digital Engagement &amp; Automation Associate.</li></ul>Required Skills and Qualifications<ul><li>5+ years of progressive experience in digital strategy, marketing technology, or digital member engagement, ideally within an association, nonprofit, or professional services environment</li><li>Strong expertise in CRM and AMS systems (HubSpot, Salesforce, MemberSuite and others), marketing automation, and digital content platforms.</li><li>Demonstrated experience in user experience design, personalization, and accessibility.</li><li>Familiarity with AI applications in content delivery, tagging, or member engagement.</li><li>Proficiency in SEO/SEM and familiarity with emerging practices in Generative Engine Optimization (GEO).</li><li>Experience applying AI tools to member experience, personalization, or content delivery, with an understanding of ethical considerations.</li><li>Advanced skills in digital analytics and data visualization (e.g., GA4, Looker, Tableau, or similar).</li><li>Experience with app developer tools and platforms through Apple Store and/or Google Play.</li><li>Foundational knowledge of HTML/CSS.</li><li>Understanding of data privacy, GDPR, and cybersecurity best practices in a digital ecosystem.</li><li>Strong analytical skills with the ability to translate data into actionable insights.</li><li>Demonstrated ability to manage budgets, vendors, and platform integrations.</li><li>Excellent collaboration skills across functional teams and with external partners.</li><li>Experience supervising staff and/or managing contractors.</li><li>Strategic and innovative mindset, with the ability to align technology solutions with organizational goals.</li></ul>Job Type: Full-timePay: From AED240,000.00 per year

Senior Manager, Digital Experience & Insights

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Senior Manager, Digital Experience & Insights