director data analytics

Uniqus Consultech Inc.

<div>
 
 We at Uniqus Consultech are hiring for Data &amp; Analytics role.
 
 
 
 
 
 
 Location
 
 - Doha
 
 
 
 
 
 
 Level
 
 - Associate Director
 
 
 
 
 
 
 About Uniqus
 
 
 
 
 
 
 Uniqus is a tech-enabled global platform that offers ESG and Accounting &amp; Reporting Consulting by leveraging high-performing global talent.
 
 
 We exclusively focus on two businesses. Our investments are accordingly fully allocated to these areas. This gives us the ability to be at the cutting edge of developments in the ESG &amp; ARC space and recognize talent in this space.
 
 
 
 
 
 
 Role &amp; Responsibilities
 
 
 
 Uniqus is seeking senior professionals in Data &amp; Analytics to join Uniqus&rsquo; Technology Consulting team. You will play a crucial role as a Solution Architect/SME and work with a team of highly skilled technical professionals at offshore to drive the development and delivery of Data and Analytics solutions. Your primary technical responsibility will be to oversee the design, implementation, and maintenance of data analytics systems, ensuring they meet the timelines, cost and service quality of implementation.
 
 
 The candidate must be experienced in implementing (on-premise/Cloud) data warehousing solutions, integrating various data sources, and utilizing visualization tools to provide actionable insights. Key technology experience required in related solutions in Microsoft stack &ndash; Azure, Databricks, Data Pipelines, Power BI, etc. This role demands a strong understanding of cloud platforms, data management, and analytics to support our data-driven initiatives.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 Data Warehousing:
 
 
 
 <ul>
 <li>
 Develop and maintain data warehouses that consolidate data from multiple sources.
 </li>
 <li>
 Optimize data storage and retrieval processes to enhance performance and scalability.
 </li>
 <li>
 Implement ETL (Extract, Transform, Load) processes to ensure data accuracy and integrity.
 </li>
 </ul>
 
 
 
 
 
 
 Data Integration:
 
 
 
 <ul>
 <li>
 Integrate disparate data sources, including databases, APIs, and third-party services.
 </li>
 <li>
 Design and develop data pipelines to automate data collection and integration.
 </li>
 <li>
 Monitor and troubleshoot data integration workflows to ensure reliability and performance.
 </li>
 </ul>
 
 
 
 
 
 
 Visualization &amp; Reporting
 
 :
 
 
 <ul>
 <li>
 Utilize visualization tools such as Tableau, Power BI, or Looker to create dashboards and reports.
 </li>
 <li>
 Translate complex data sets into clear and actionable insights for stakeholders.
 </li>
 <li>
 Collaborate with business units to understand data visualization needs and deliver solutions.
 </li>
 </ul>
 
 
 
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <ul>
 <li>
 Work closely with data engineers, analysts, and business stakeholders to understand requirements and deliver solutions.
 </li>
 <li>
 Document processes, data flows, and technical specifications for reference and training.
 </li>
 <li>
 Communicate project status, progress, and issues to management and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Education:
 
 
 <ol>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field
 </li>
 <li>
 Proven experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 </li>
 <li>
 Experience in using visualization tools like Tableau, Power BI, or Looker.
 </li>
 <li>
 Preferred knowledge of machine learning and AI
 </li>
 </ol>
 
 
 
 
 
 Experience:
 
 
 <ol>
 <li>
 Experience in cloud data management, data warehousing, and data integration in Microsoft data and analytics stack
 </li>
 <li>
 
 Should be currently working with a Big 4
 
 </li>
 </ol>
 
 
 
 
 
 Technical Skills:
 
 
 <ol>
 <li>
 Proficiency in SQL and experience with database management systems.
 </li>
 <li>
 Strong knowledge of ETL processes and data pipeline development.
 </li>
 <li>
 Familiarity with programming languages such as Python, Java, or Scala.
 </li>
 <li>
 Understanding of data modelling, data architecture, and data governance principles.
 </li>
 <li>
 Should have
 
 Go to Market experience.
 
 </li>
 </ol>
 
 
</div>

Associate Director - Data Analytics

BridgeBio

<div><div><h3 class="jobSectionHeader">Mavericks Wanted</h3> 

When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on 
 
In 2015, we pioneered a &ldquo;moneyball for biotech&rdquo; approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. 
 
Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask &quot;why not?&quot; and help reengineer the future of biopharma.
<h3 class="jobSectionHeader">
What You'll Do</h3>

We are seeking a visionary Associate Director, Data &amp; Analytics &ndash; Data Engineer/Scientist to join our team of data engineers to shape the enterprise data landscape at our innovative life sciences organization. In this senior leadership role, you will define and execute a holistic data strategy that empowers our pharmaceutical/biotech business &ndash; enabling advanced business intelligence, automating data governance workflows, and supporting cutting-edge predictive modeling initiatives.

Based in San Francisco, CA with a flexible hybrid work arrangement, you will collaborate closely with cross-functional teams (G&amp;A functions, Commercial, Medical, Compliance, and others) to ensure our data architecture and practices drive value, uphold regulatory standards, and ultimately improve patient outcomes. The ideal candidate is an experienced data leader with deep expertise in AI/ML, modern cloud data architectures, and the unique data and compliance needs of the biotech/pharma sector. As a key member of our leadership team, you will influence strategy and foster a data-driven culture aligned with our mission to deliver life-changing therapies.
<h3 class="jobSectionHeader">
Responsibilities</h3>

Data Strategy and Governance:
<ul>
<li>Develop and execute a comprehensive data management and analytics strategy that aligns with organizational goals</li>
<li>Establish and enforce data governance policies, standards, and best practices</li>
<li>Maintain strict compliance with healthcare laws and guidelines (e.g. FDA regulations, GxP, HIPAA) and global data privacy standards (GDPR, CCPA)</li>
</ul>
Master Data Management, Data Quality, and Integration:
<ul>
<li>Define and implement a Master Data Management (MDM) roadmap for the enterprise in collaboration with various business teams</li>
<li>Define data quality standards and implement assurance processes</li>
<li>Facilitate data integration across systems and sources for a unified view of organizational data</li>
<li>Monitor data quality metrics and spearhead efforts to address data issues</li>
<li>Establish capabilities for Data catalog, Metadata Management, and Data Dictionary</li>
<li>Implement data security protocols and access controls to safeguard sensitive data</li>
<li>Conduct regular data audits and risk assessments to ensure compliance</li>
<li>Evaluate and implement modern data technologies, tools, and platforms (cloud services, databases, ETL/ELT tools, analytics and AI platforms) that best fit our needs</li>
<li>Manage relationships with external vendors and data providers, negotiating contracts and ensuring high-quality service for data management, integration, and analytics solutions</li>
</ul>
Data Analytics and Reporting:
<ul>
<li>Lead business intelligence and analytics teams for reporting and advanced analytics</li>
<li>Develop and deliver relevant Key Performance Indicators (KPIs) and Dashboards for various business teams</li>
<li>Ensure data is readily available and accessible for deriving business insights</li>
</ul>
Architecture and Infrastructure:
<ul>
<li>Oversee the design and maintenance of data architectures, including data warehouses, data lakes, and data pipelines</li>
<li>Collaborate with Infrastructure teams to ensure data infrastructure scalability, reliability, and performance</li>
<li>Evaluate and recommend data management technologies and tools</li>
<li>Demonstrate a strong understanding of cloud architecture, security best practices, and cost optimization strategies</li>
<li>Proven experience in managing cloud infrastructure, with a focus on Azure and AWS</li>
<li>Drive the implementation of a &ldquo;single source of truth&rdquo; for all critical data, integrating information across R&amp;D, clinical, commercial, and medical functions</li>
</ul>
AI-Driven Analytics:
<ul>
<li>Leverage artificial intelligence and machine learning to enhance our data capabilities</li>
<li>Enable advanced analytics and business intelligence by implementing AI/ML solutions that automate data cleansing and governance workflows, detect data anomalies, and power predictive modeling for key business outcomes (e.g. forecasting, patient insights)</li>
</ul>
Cross-Functional Collaboration:
<ul>
<li>Partner with departments across the entire organization to understand their data needs and pain points. Prioritize and deliver data solutions that support various functions &ndash; from commercial analytics and medical insights to compliance reporting &ndash; fostering a culture of data-driven innovation across the company</li>
</ul><h3 class="jobSectionHeader">Where You'll Work</h3>

This is a hybrid role and requires in-office collaboration 2-3x per week in our San Francisco Office.
<h3 class="jobSectionHeader">
Who You Are</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or related field (Master&rsquo;s or PhD preferred)</li>
<li>7+ years of progressive experience in data strategy, data architecture, analytics, or related fields, with at least 5 years in a leadership role. Industry experience in biotech, pharmaceutical, or healthcare is highly preferred, including familiarity with the unique challenges of regulated data (e.g. clinical data, patient data, commercial pharma data)</li>
<li>Proven expertise in designing and managing modern data architectures and platforms. Hands-on knowledge of cloud-based data technologies (e.g. AWS, Azure, Databricks, Snowflake ecosystems), data warehousing and data lake concepts, data integration/ETL tools, and big data processing frameworks. Experience with business intelligence and analytics tools (e.g. Tableau, Power BI, Spark, Python/R for analytics) and AI/ML frameworks</li>
<li>In-depth understanding of data governance principles and best practices (data quality, MDM, metadata management, data lifecycle)</li>
<li>Experience implementing data governance programs and working with data stewardship councils</li>
<li>Strong background in analytics &ndash; able to guide teams in advanced analytics and oversee the development of predictive models or AI-driven data products</li>
<li>Solid knowledge of data privacy and security regulations relevant to life sciences (such as HIPAA, GDPR, CCPA) and familiarity with compliance standards in pharma/biotech (GxP, 21 CFR Part 11 for data systems, etc.). Demonstrated ability to ensure compliance in all data initiatives</li>
<li>Strategic thinker who can translate business strategy into effective data solutions. Outstanding communication skills &ndash; capable of articulating a vision and complex data concepts in simple terms to influence stakeholders at all levels. Strong cross-functional collaboration abilities to work effectively with commercial, scientific, IT, and compliance teams</li>
<li>Highly analytical and resourceful, with superior problem-solving abilities. Proven project management skills with the ability to oversee multiple initiatives and deliver results in a fast-paced environment. A drive for innovation and continuous improvement, with a &ldquo;roll-up-your-sleeves&rdquo; attitude to tackle challenges</li>
<li>Genuine passion for leveraging data and emerging technologies, such as AI, to advance healthcare and patient outcomes. Alignment with a patient-focused, science-driven culture &ndash; you thrive in an environment that values integrity, innovation, urgency, and collaboration</li>
</ul><h3 class="jobSectionHeader">Rewarding Those Who Make the Mission Possible</h3>

We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.

Financial Benefits:
<ul>
<li>Market leading compensation</li>
<li>401K with 100% employer match on first 3% &amp; 50% on the next 2%</li>
<li>Employee stock purchase program</li>
<li>Pre-tax commuter benefits</li>
<li>Referral program with $2,500 award for hired referrals</li>
</ul>
Health &amp; Wellbeing:
<ul>
<li>Comprehensive health care with 100% premiums covered - no cost to you and dependents</li>
<li>Mental health support via Spring Health (6 therapy sessions &amp; 6 coaching sessions)</li>
<li>Hybrid work model - employees have the autonomy in where and how they do their work</li>
<li>Unlimited flexible paid time off - take the time that you need</li>
<li>Paid parental leave - 4 months for birthing parents &amp; 2 months for non-birthing parents</li>
<li>Flex spending accounts &amp; company-provided group term life &amp; disability</li>
<li>Subsidized lunch via Forkable on days worked from our office</li>
</ul>
Skill Development &amp; Career Paths:
<ul>
<li>People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility</li>
<li>We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health &amp; BetterUp Coaching</li>
<li>We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities</li>
</ul></div><div><div><div><div><div><div>At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states.</div>
</div></div></div>
Salary
$185,000 - $250,000 USD</div></div></div>

Associate Director, Data & Analytics

PromptCloud

<div>Company Description 
About Us
PromptCloud is a Data as a Service company that helps businesses harness the power of data. Our technology fuels some of the most interesting big data projects in the world. We are a small bunch of people working towards shaping the imminent data-driven future by solving some of its fundamental and toughest challenges.
The PromptCloud experience is about striving to become the best version of ourselves holistically, an experience that lasts a lifetime. We tend to have clear growth paths for every role and level in the org so the learning never stops. We believe in a work-life blend, and hence encourage responsible flexibility, which is particularly important in a fully remote setup we have. We trust our people with the impact they can create, and let them choose how they want to do so. We are on a mission to put reliable data at the heart of every business to fuel success and intend to transform the lives we touch (of our customers and our people) while on this journey. 
Job Description 
The Role
This is a performance-driven role that combines leadership, tactical execution, and ownership of outcomes. You will manage the outbound sales team, ensure steady activity and high quality execution, and directly contribute to revenue growth by stepping in to close opportunities when needed. While your main focus will be leading outbound efforts however you will also handle inbound leads at times to make sure no opportunity is missed.
We&rsquo;re looking for someone who thrives in fast-paced environments, can balance strategy with hands-on execution, and is motivated by the chance to create visible impact in a short time frame.
What You&rsquo;ll Do<ul><li>
Lead with accountability: Own the outbound sales function and team quota, ensuring pipeline coverage and consistent execution.</li><li>
Coach &amp; elevate: Train the team on prospecting, outreach, discovery, and deal management.</li><li>
Be hands-on: Prospect, engage, and close deals directly&mdash;not just oversight.</li><li>
Sales project management: Run the team with structured reviews and sprint-style execution (scrum equivalent for sales).</li><li>
Tactical + strategic balance: Refine messaging, optimize workflows, and align GTM strategy with leadership.</li><li>
AI-enabled sales: Use tools beyond ChatGPT&mdash;Agentic AI and automation&mdash;to boost productivity and personalization.</li><li>
Market execution: Focus on US and European markets (with preference for the UK), building scalable and repeatable sales processes.</li><li>
Inbound opportunities: Convert selected inbound leads, with attractive incentives for closures.</li><li>
Cross-team collaboration: Partner with marketing, product, and leadership to shape market positioning and GTM priorities.</li><li>
Team Quota: Own the outbound sales function and team quota, ensuring pipeline coverage and consistent execution.</li><li>
Operational Guidance: Provide tactical inputs to sharpen messaging, optimize workflows, and improve conversion rates.</li></ul>
What We&rsquo;re Looking For<ul><li>
Experience: 8&ndash;12 years in B2B SaaS/Data/tech sales, with at least 3+ years in a leadership/managerial role.</li><li>
Outbound expertise: Skilled in cold calling, email campaigns, LinkedIn prospecting, and building scalable playbooks.</li><li>
Data domain knowledge: Experience in web data, SaaS, or analytics is highly preferable.</li><li>
Outcome-focused: Demonstrated ability to deliver measurable results within 3&ndash;6 months.</li><li>
Sales leadership: Proven track record of driving team quotas and scaling sales motions.</li><li>
Execution mindset: Comfortable building structured workflows, WBS, and sales processes from the ground up.</li><li>
Analytical &amp; tech-savvy: Strong with CRMs, dashboards, and AI-driven sales tools.</li><li>
Communication: Excellent presentation and stakeholder engagement skills.</li></ul>
What We Offer<ul><li>
A performance-driven culture with clear accountability and high visibility of your impact.</li><li>
Team-based targets with attractive incentives on inbound conversions.</li><li>
A collaborative environment with direct access to leadership and cross-functional teams.</li><li>
The opportunity to shape the sales engine of three fast-growing businesses.</li><li>
Competitive compensation with growth-linked rewards.</li></ul> 
Why Join Us:
We are a 100% remote company and we strive to build a unique and thriving workplace where work is designed around people (and not the other way round). More details on PromptCloud&rsquo;s culture and how we work can be found in the PC 2.0 Culture Handbook . Our EVP is 3 fold:<ul><li>
Great Culture</li><li>
Great Colleagues</li><li>
Learning and Growth</li></ul></div>

Ernst & Young Advisory Services Sdn Bhd

At EY, we're all in to shape your future with confidence.We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world. Director - Payroll Data Analytics The opportunityAs our Director, you'll bring your deep expertise in payroll data analytics to lead the technical review of payroll remediation projects to support our various clients in Global Mobility.This role can be performed from any of our EY offices across Australia. Our roles can potentially be adjusted to work flexibly with reduced hours. Please speak with us about potential options. Your key responsibilities <ul><li>Payroll Data Analytics and Remediation: Spearhead the technical review of payroll remediation projects to ensure wage compliance and accurate entitlement calculations in accordance with legal instructions. This includes overseeing projects such as Award/EBAs reviews, leave accruals, progression, superannuation guarantee remediation, and enforceable undertakings.</li><li>Fringe Benefits Tax Data Modelling and Tools: Lead specific FBT-focused engagements by building various data models to determine applicable FBT amounts. Additionally, guide the team in using coding and analytics tools, particularly Alteryx, SQL, R, RPA, and data visualization tools, to enhance efficiency and accuracy in FBT functions.</li><li>Relationship Management with Regulatory Authorities: Maintain and manage relationships with regulatory bodies such as the Australian Taxation Office and Fair Work Ombudsman to ensure compliance and effective communication.</li></ul> Skills and attributes for success <ul><li>Extensive Experience and Leadership: Over 9 years of experience in payroll data analytics, with a proven track record of leading large, data-heavy engagements. Demonstrated leadership within a Big Four accounting firm or an equivalent organization.</li><li>Technical Proficiency: Strong technical skills in Alteryx, SQL, R, RPA tools, and data visualization, enabling efficient and accurate data analysis and modeling.</li><li>Client Communication and Business Development: Excellent client communication and business development skills, ensuring effective client interactions and successful project outcomes.</li></ul> What we offer you <ul><li>Career development: At EY, your career is yours to shape! We'll develop you with future-focused skills and equip you with world-class experiences.</li><li>Flexible work arrangements: Our flexible work policies empower you to balance your professional and personal life, fostering a culture of trust and autonomy.</li><li>A comprehensive benefits package: From a yearly wellness incentive, to access to additional 8 weeks of flex leave per year, and family-friendly policies, including 26 weeks of gender-neutral paid parental leave, we cater to your diverse needs to help you thrive both personally and professionally.</li><li>Salary: We offer a competitive salary which is open to negotiation pending on skills and experience.</li></ul>EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders - past, present, and emerging.Diversity, equity, and inclusiveness (DE&I) are core to who we are, how we work and how we live our values. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier free recruitment experience for all.

Director - Payroll Data Analytics

Morgan Stanley

<div>We're seeking someone to join our team as Datawarehousing Engineer with hands-on experience in Python, Apache Spark or Similar, Snowflake, No SQL , graph database and dbt to join our growing data team.
CDRR_Technology
The Cybersecurity organization's mission is to create an agile, adaptable organization with the skills and expertise needed to defend against increasingly sophisticated adversaries. This will be achieved by maintaining sound capabilities to identify and protect our assets, proactively assessing threats and vulnerabilities and detecting events, ensuring resiliency through our ability to respond to and recover from incidents and building awareness and increase vigilance while continually developing our cyber workforce.
Tech Risk Gov &amp; Controls (TRGC)
TRGC provides governance and oversight of Risk across Technology by engaging with internal and external clients, including regulators, to help better identify, manage, mitigate and communicate risk posture.
Software Engineering
This is Director position that develops and maintains software solutions that support business needs.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
At Morgan Stanley India, we support the Firm's global businesses, with critical presence across Institutional Securities, Wealth Management, and Investment management, as well as in the Firm's infrastructure functions of Technology, Operations, Finance, Risk Management, Legal and Corporate &amp; Enterprise Services. Morgan Stanley has been rooted in India since 1993, with campuses in both Mumbai and Bengaluru. We empower our multi-faceted and talented teams to advance their careers and make a global impact on the business. For those who show passion and grit in their work, there's ample opportunity to move across the businesses for those who show passion and grit in their work.
 
 
Interested in joining a team that's eager to create, innovate and make an impact on the world? Read on_
What you'll do in the role:
You will be responsible for building scalable data pipelines, transforming data for analytics and reporting, and ensuring high data quality across the organization.
 
This role is ideal for someone who thrives in a fast-paced environment and is passionate about delivering high-impact data solutions.
What you'll bring to the role:
<ul><li>At least 4 years' relevant experience would generally be expected to find the skills required for this role
</li><li>Experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li><li>Experience in design and implementing rest api's .
</li></ul>Required:
<ul><li>6+ years of experience as a Data Engineer or in a similar role.
</li><li>Proficient in languages like Python, used for scripting, ETL processes, and data manipulation and optimizations.
</li><li>Acquainted with implementing and consuming webservices and restful services.
</li><li>Skilled in Apache Spark (especially PySpark) or equivalent.
</li><li>Hands-on experience with Snowflake, including schema design, data loading, performance tuning, warehouse optimization, and access control.
</li><li>Experience with workflow orchestration tools like Airflow, Dagster, or similar.
</li><li>Solid understanding and hands-on experience with dbt for data transformation and modelling.
</li><li>Strong SQL skills and knowledge of data modelling techniques (star/snowflake schema, normalization).
</li><li>Monitor data pipeline health, ensure data quality, and troubleshoot data issues.
</li><li>Familiarity with Git, CI/CD, and version control best practices.
</li><li>Excellent problem-solving, communication, and collaboration skills.
</li><li>Familiarity with data governance, metadata management, or data catalog tools is added advantage.
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</div>

Data Engineer_Director_Data & Analytics Engineering

<div>Profile Description
We&rsquo;re seeking someone to join our team as (Director) Data Modeller who can be key architect of our Data Landscape, responsible for designing, developing and maintaining robust and scalable data models that support our business objectives.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a SRE on the AI platform position at Director level, which is part of Infrastructure Production Management &amp; Reliability Engineering job family that maintains the stability and reliability of the organization's infrastructure systems, ensuring optimal performance and availability to support business operations.
Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals
What you&rsquo;ll do in the role:
<ul><li>Database design and Data Modeling experience
</li><li>Strong with SQL with hands-on using Data Modeling tools like Power designer or Erwin
</li><li>Experience in any one of the Database like Teradata, SQL Server, Hadoop Hive, Snowflake etc
</li><li>Understand and translate business needs into data models supporting strategic solutions.
</li><li>Create and maintain conceptual, logical and physical data models along with corresponding metadata.
</li><li>Develop best practices for standard naming conventions and coding practices to ensure consistency of data models.
</li><li>Recommend opportunities for reuse of data models in new environments.
</li><li>Perform reverse engineering of physical data models from disparate databases and SQL scripts.
</li></ul>What you&rsquo;ll bring to the role:
<ul><li>At least 2 years&rsquo; relevant experience would generally be expected to find the skills required for this role
</li><li>Evaluate data models and physical databases for variances and discrepancies.
</li><li>Validate business data objects for accuracy and completeness.
</li><li>Analyze data-related system integration challenges and propose appropriate solutions.
</li><li>Develop data models according to company standards.
</li><li>Guide System Analysts, Engineers, Programmers and others on project limitations and capabilities, performance requirements and interfaces.
</li><li>Review modifications to existing software to improve efficiency and performance.
</li><li>Examine new application design and recommend corrections as required
</li></ul>WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.</div>

Data Modeler_Director P4_Data & Analytics

Qiddiya Investment Company

<div>The Senior Director of Planning Data &amp; Analytics at Qiddiya Investment Company will play a critical role in shaping our marketing strategy through data-driven insights and analytics. In this leadership position, you will oversee the development and execution of comprehensive marketing analytics strategies that enhance our understanding of market trends, customer behaviors, and competitive positioning. Your expertise will empower our marketing teams to optimize campaigns, maximize ROI, and drive growth across all areas of the business.
As the Senior Director, you will lead a talented team of analysts and data scientists, fostering a culture of analytical thinking and strategic insight. You will engage closely with various departments, ensuring that every marketing initiative is informed by robust analytics and actionable insights. This role requires a strong blend of strategic vision, technical expertise, and excellent communication skills, with the ability to translate complex data into compelling narratives that align with our business objectives.
Key Responsibilities:<ul>
<li>
Develop and implement a comprehensive analytics strategy for the marketing department, which drives performance and enhances marketing effectiveness.</li>
<li>Oversee the collection, integration, and analysis of marketing performance data, ensuring accuracy and relevance in reporting.</li>
<li>Lead a team of data analysts to build predictive models, conduct market research, and derive actionable insights to inform marketing strategies.</li>
<li>Present findings and recommendations to senior leadership, translating complex data into clear insights that drive decision-making.</li>
<li>Collaborate cross-functionally with product, sales, and finance teams to align marketing initiatives with broader organizational goals.</li>
<li>Establish metrics and KPIs to evaluate marketing performance, ensuring continuous improvement and optimization of marketing investments.</li>
<li>Stay current with industry trends and best practices in data analytics and marketing strategies, identifying opportunities for innovation.</li>
<li>Foster a data-driven culture within the marketing team, encouraging the use of analytics in everyday decision-making.</li>
<li>Drive the integration of advanced analytics tools and technologies to streamline operations and enhance marketing effectiveness.</li>
</ul>
Requirements<ul>
<li>
A Bachelor&rsquo;s degree in Marketing, Business, Data Science, Statistics, or a related field; a Master&rsquo;s degree is preferred.</li>
<li>Minimum of 12+ years of experience in marketing analytics, with at least 5 years in a leadership role.</li>
<li>Proven track record of using data and insights to drive marketing strategy and performance.</li>
<li>Strong expertise in data analytics tools and platforms (e.g., Tableau, Google Analytics, SQL).</li>
<li>Excellent analytical skills with the ability to translate complex data into clear business strategies.</li>
<li>Exceptional leadership and team management abilities, with strong communication skills to engage and influence stakeholders.</li>
<li>Experience in the entertainment, tourism, or consumer goods industries is a plus.</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>

Senior Director - Planning Data & Analytics

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