Mubadala Investment Careers

Mubadala Investment Careers: Abu Dhabi, UAE

Mubadala Investment Careers & Jobs 2021. Mubadala is a pioneering global investor, deploying capital with integrity and ingenuity to accelerate economic growth for the long-term benefit of Abu Dhabi.

As Abu Dhabi’s leading strategic investment company, Mubadala is active in 13 sectors and more than 30 countries around the world, creating lasting value for our shareholder, the Government of Abu Dhabi.

Our work includes the development of global industrial champions in sectors such as aerospace, ICT, semiconductors, metals & mining, renewable energy and utilities, and the management of diverse financial holdings.

We build on legacy expertise in oil and gas to invest across the hydrocarbon spectrum, and enhance the UAE’s growth potential through investments in healthcare, real estate and defense services.

Our investment approach prioritizes partnership with best-in-class organizations and a commitment to the highest standards of governance. Mubadala Development Careers

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Mubadala Investment Careers: Abu Dhabi, UAE

• Company/Organization: Mubadala Investment Company
• Job Location: Abu Dhabi, U.A.E
• Nationality: Any
• Qualification: Bachelor Degree/Diploma/High School
• Salary: Not Disclosed
• Experience: Minimum 1 to 2 Years

Director – Data & Analytics

Job Purpose

Defines the data and analytics strategy and data governance program for Mubadala. Leads in the planning, evaluating, and selecting the right data analytics capabilities and technologies for the enterprise.

Serves as an advisor to the leadership team to develop and deliver enterprise-wide solutions for complex data challenges, including developing and applying algorithmic models to derive insights, improve decision making, and automate processes.

Bears responsibility on behalf of Mubadala to foster value creation by means of the organization’s data assets and external data ecosystem. This includes: Mubadala Investment Careers

  • Creating value through data exploitation
  • Envisioning data-enabled strategies
  • Enabling all forms of business outcomes through analytics
  • Establishing data and analytics governance
  • Specifying enterprise data related policies

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Key Accountabilities


  • Exploiting the value of enterprise data assets and analytics: Take authority, responsibility and accountability for exploiting the value of enterprise data assets, and of the analytics used to render insights for decision making, automated decisions and augmentation of human performance. Be the organization leader of data-driven insights that help support the exploitation of strategic and tactical business opportunities. Exploit data using research and analytics to maximize the return on data assets. Develop methods to ensure consistent application and use of analytics. Establish the governance of data and algorithms used for analysis, analytical applications and automated decision making. Creates value by unlocking and sharing data and information in ways which will spur innovation
  • Define and oversee the implementation of Mubadala Data & Analytics Vision and Strategy: Work with Data Governance Council members and other senior executives to establish the vision for managing data as a business asset. Define data and analytics strategy practices, lead the creation (and assure the ongoing relevance) of the organization’s data and analytics strategy in collaboration with Mubadala senior stakeholders. Institute an enterprise operating model that is consistent with the capabilities and competencies required to execute the strategy
  • Identifying and Defining Data & Analytics Investments: Works with business and ETS leaders to identify areas of technical needs for future data analytics capabilities. Drives the development and deployment of the data and analytics platform.  Identifies and prioritizes business projects and enterprise data initiatives utilizing data science capabilities. Lead research, strategy creation and development of new data solutions to monetize data (directly and indirectly) and grow company revenue
  • Expand Mubadala’s research and analytics offerings: Expand the organization’s research and analytics offerings, especially in emerging analytical approaches, skills and technologies, focusing them on digital business innovation
  • Creation of a Data Driven Culture: Foster the creation of a data-driven culture, related competencies and data literacy across the organization Mubadala Investment Careers

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Qualifications and Experience

Minimum Qualifications:

  • A bachelor’s or master’s degree in business administration, computer science, data science, information science or related field, or equivalent work experience. Academic qualification or professional training and experience in data regulatory areas or financial domain are also desirable.


  • At least 15 years of progressively responsible relevant experience in data management ideally in a Private Equity, Investment Company or financial institution, including creating partnerships, implementing data governance, and understanding the underlying technologies needed to enable data innovation across a large organization.
  • Recently at or near the executive level. Broad business experience internally and within the vertical industry is desired
  • Experience in computer programming, query languages, and data visualization platforms is also preferred
  • Demonstrated experience with developing data strategy, policies, and procedures, as well as successfully executing programs that meet or exceed expectations in a dynamic environment; experience creating tools and capabilities to assist with data discovery & collaboration, ensure data quality, and to load, clean, enrich, manage, and share data and metadata from a variety of sources
  • Familiar with big data technologies (e.g. Hadoop, HBase, Lucene/Solr) and Extract Transform Load (ETL) tools


  • Ability to define strategic initiatives and oversee the development of long-term plans and proposals
  • Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment
  • Ability to effectively coordinate, allocate, and manage resources and projects throughout multiple teams
  • Knowledge of trends and developments in the fields of data management and data analytics
  • Data management and quantitative skills, including working knowledge of IT infrastructure, various technologies/platforms, and enterprise-specific vendor solutions
  • Industry-specific knowledge of data security protocols, policies, and regulations
  • Exceptional analytical, written, oral, and presentation skills with proven track record of effectively communicating actionable insights
  • Exemplary diplomatic skills and ability to help senior business leaders see value, opportunities, and risks beyond their own area of expertise
  • Ability to understand problems from a broad perspective and anticipate the impact of administrative issues and solutions
  • Excellent investment business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals.
  • Demonstrated leadership; proven track record of leading complex, multidisciplinary talent teams in new endeavors and delivering solutions.
  • Proven data literacy — The ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options. The ability to translate among the languages used by executive, business, IT and quant stakeholders.
  • Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment.
  • Ability to develop a framework for data and analytics governance, as well as to sell and embed it in all levels of the business.
  • Proven record of effective leadership, including the ability to balance team and individual responsibilities, build teams and consensus, get things done through others not directly under his/her supervision, and work ethically and with integrity.

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Vice President – Responsible Investment

Job Purpose

To support the development and implementation of the Responsible Investment policy and framework, to enable the assessment and management of the risks and opportunities that ESG presents to Mubadala and its portfolio companies.

Support investment teams with the evaluation of potential new deals and monitoring and management of assets, to inform risk management and value creation. Mubadala Investment Careers

Participate in internal Sustainability-related initiatives and ensure alignment with Mubadala’s Responsible Investment Policy. Mubadala Investment Careers

Engage with external stakeholders and support with the development and implementation of Responsible Investment reporting, to protect Mubadala’s reputation and strengthen stakeholder relations.

Key Responsibilities

Responsible Investment Policy and Framework

Contribute to the continuous improvement of Mubadala’s Responsible Investment approach, as part of the periodic review and improvement process. Mubadala Investment Careers

Support the periodic review and revision of the Mubadala Responsible Investment Policy.

ESG Risk and Opportunity Assessment

Assess ESG Risks and Opportunities of Mubadala, as a sovereign investor, and work with corporate and investment teams to develop and implement suitable strategies and action plans. Mubadala Investment Careers

Assess ESG Risks and Opportunities of potential new investments and existing assets, and support investment teams in deal evaluation and post-investment performance monitoring and asset engagement.

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ESG Monitoring and Reporting

Monitor the development of ESG and RI related policy and regulations and engage with Group Legal, Ethics & Compliance, other Corporate Divisions and/or Assets to ensure compliance.

Coordinate the collection and analysis of ESG data to measure the ESG performance of Mubadala and portfolio companies and provide insights on future trends.

Contribute to the preparation of periodic reports to the Responsible Investment Steering Group (RISG), Audit, Risk and Compliance Committee (ARCC), Investment Committee (IC) and other governance bodies.

Contribute to the development of Mubadala external reporting strategy and the preparation of content for reporting and communications, in close collaboration with Group Communications. Mubadala Investment Careers

Coordinate the use of Mubadala ESG Information Systems and management of risk data.


Support with the definition of the ESG technical competencies and development and delivery of training across to the RI team and across the organization.

Support with the management of the Responsible Investment Team by managing performance of direct and indirect reports, defining workforce requirements, recruiting, training and developing talent, in conjunction with the Head of Responsible Investment and the Human Capital Business Partner, to ensure competent, qualified and highly motivated staff enable the achievement of the function’s objectives.

Participate in the review of employee engagement results and the development and implementation of agreed action plans to establish a motivated and engaged workforce. Mubadala Investment Careers

Demonstrate the proficiency level expected of a Vice President with regard to the four core leadership competencies.

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Policies, System, Processes and Procedures

Support the development and implementation of functional policies, systems, processes and procedures, and continuously identify and recommend improvements to ensure compliance with Mubadala’s standards and regulatory requirements, align to business requirements, and increase operational effectiveness.

Relationship Management

Provide support to the establishment and continuous development of a Responsible Investment culture within Mubadala Group. Mubadala Investment Careers

Lead the development of Mubadala internal communications strategy and competence development plan.


Lead continual improvement of specific aspects of the Responsible Investment Framework and activities of the Responsible Investment team by proactively defining and implementing/overseeing improvement initiatives.

Lead major initiatives/projects with minimal or no supervision. Mubadala Investment Careers

Supervise or lead the development of more junior members of the team.

Related Assignments

Perform other related duties or assignments as directed.

Qualifications and Experience

Minimum Qualifications:

Bachelor degree in Science, Finance or Engineering, or equivalent relevant degree.

Recognised certification in a Sustainability/ESG related professional standard preferred.

CFA or CAIA qualification preferred. Mubadala Investment Careers


Minimum of 8 years of relevant experience in Private Equity, investment banking or consulting

Experience across asset classes and sectors

Experience in mature and emerging ESG markets

Experience in ESG due-diligence

Excellent ESG and investment research skills


Strong knowledge of international reporting standards (UNGC / SDG, GRI, SASB, TCFD, CDP, UNPRI) and ESG rating methodologies (e.g. MSCI, Sustainalytics, ISS ESG, RobecoSAM, Vigeo).

In-depth knowledge of leading practices, concepts and trends in Responsible Investment.

Strong knowledge ESG Due-Diligence approaches and their integration with valuation and decision-making related to new investments. Mubadala Investment Careers

Strong knowledge of Asset performance monitoring and engagement.

Strong knowledge of designing, implementing and maintaining comprehensive information management systems and content development.

Strong knowledge of influencing and communication techniques, and ability to report and influence at the Mubadala leadership and senior executive level.

Skilled manager and trainer to develop the risk management capability of colleagues and the broader business stakeholders. Mubadala Investment Careers

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Senior Assistant Manager – Data Engineers

Job Purpose

Plays a pivotal role in building and operationalizing the minimally inclusive data necessary for data and analytics initiatives following industry standard practices and tools.

Builds, manages and optimizes data pipelines and then moves these data pipelines effectively into production for key data and analytics consumers that need curated data for data and analytics use cases across Mubadala.

Acts as the key interface in operationalizing data and analytics on behalf of Mubadala units and organizational outcomes. Works with key business stakeholders, IT technical teams and subject-matter experts to plan and deliver optimal analytics and data science solutions.

Minimum Qualifications:

  • A bachelor’s degree in computer science, statistics, applied mathematics, data management; information systems, information science or a related quantitative field is required.
  • A master’s degree in computer science (MS), statistics, applied mathematics, information science (MIS), data management; information systems, information science or a related quantitative field is preferred.
  • The ideal candidate will have a combination of IT skills, data governance skills, and analytics skills with a technical or computer science degree. Mubadala Investment Careers


  • At least six years or more of work experience in data management disciplines including data integration, modelling, optimization and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks.
  • At least three years of experience working in cross-functional teams and collaborating with business stakeholders in support of a unit and/or multi-unit data management and analytics initiative. Mubadala Investment Careers


  • Ability to define strategic initiatives and oversee the development of long-term plans and proposals
  • Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment
  • Strong experience with various Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management
  • Strong ability to design, build and manage data pipelines for data structures encompassing data transformation, data models, schemas, metadata and workload management.
  • Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using traditional data integration technologies. These should include ETL/ELT, API design and access and upcoming data ingestion and integration technologies such as data virtualization.
  • Basic experience in working with data governance/data quality and data security teams and specifically information stewards and privacy and security officers in moving data pipelines into production with appropriate data quality, governance and security standards and certification.
  • Demonstrated success in working with large, heterogeneous datasets to extract business value using popular data preparation tools to reduce or even automate parts of the tedious data preparation tasks.
  • Strong experience with popular database programming languages including SQL, PL/SQL, others for relational databases and certifications on Hadoop oriented databases.
  • Strong experience in working with SQL on Hadoop tools and technologies.
  • Strong experience with advanced analytics tools for Object-oriented/object function scripting.
  • Strong experience in working with both open-source and commercial message queuing technologies such as Kafka.
  • Ability to automate pipeline development – Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities.
  • Strong experience in working with data science teams in refining and optimizing data science and machine learning models and algorithms
  • Demonstrated success in working with both IT and business while integrating analytics and data science output into business processes and workflows.
  • Basic experience working with popular data discovery, analytics and BI software tools like Tableau, Microstrategy, PowerBI and others for semantic-layer-based data discovery.
  • Basic understanding of popular open-source and commercial data science platforms such as Python and others is a strong plus but not required/compulsory.
  • Demonstrated ability to work across multiple deployment environments including cloud, on-premises and hybrid] multiple operating systems and through containerization techniques.
  • Adept in agile methodologies and capable of applying DevOps and increasingly DataOps principles to data pipelines to improve the communication, integration, reuse and automation of data flows between data managers and consumers across an organization
  • Strong experience supporting and working with cross-functional teams in a dynamic business environment.
  • Required to be highly creative and collaborative. An ideal candidate would be expected to collaborate with both the business and IT teams to define the business problem, refine the requirements, and design and develop data deliverables accordingly. Required to have the accessibility and ability to interface with, and gain the respect of, stakeholders at all levels and roles within the company.

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VP – Enterprise Data Architect

Qualifications and Experience-

Minimum Qualifications:

This role requires a bachelor’s degree in computer science, information systems or a related study (or equivalent project-related experience) Mubadala Investment Careers


  • A minimum of Eight years of experience in IT, with at least three years in information system design or data architecture work.
  • In-depth experience of designing and implementing information solutions and database structure principles.
  • Hands-on experience with implementing data and analytics management programs is preferred.
  • Three to five years’ experience as a data analyst or Data Architect or Data Scientist (or similar) is highly desirable.


  • Effective conceptualization, pattern recognition and teaming skills.
  • Business acumen, and the ability to communicate to executives, business domain stakeholders and technical staff alike.
  • Demonstrated influence, communication, presentation and facilitation skills.
  • Experience with innovation and ideation methods, such as design thinking.
  • Business domain, data/content and process understanding (which are more important than technical skills).
  • System integration experience, including interface design, and familiarity with web-oriented architecture techniques. Mubadala Investment Careers

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  • Data modeling expertise at the enterprise level.
  • Understanding of common information architecture frameworks and information models.
  • Understanding of metamodels, taxonomies and ontologies, as well as of the challenges of applying structured techniques (data modeling) to less-structured sources.Mubadala Investment Careers
  • Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques.
  • Experience with distributed management and analytics in cloud and hybrid environments. Also an understanding of a variety of data access and analytics approaches.
  • Knowledge of problem analysis, structured analysis and design, and programming techniques.
  • Ability to assess rapidly changing technologies and apply them to business needs.
  • Strong communication and persuasion skills, including the ability to create messaging materials that meet stakeholder needs. Mubadala Investment Careers
  • Ability to analyze project, program and portfolio needs, as well as determine the resources needed to achieve objectives and overcome cross-functional barriers.
  • Data analytics – should have expert knowledge in everything data related. Should know exactly how data is collected, analysed, and delivered. Need to also be familiar with both the technical and user-facing sides of databases. Knowledge of data mining and segmentation techniques.
  • Scripting languages – should be familiar with scripting languages such as PHP, C, and SQL.
  • Project management experience – should be responsible for each phase of new database implementation. As such, they should be experienced project managers who know how to meet deadlines and create efficient solutions that involve multiple teams.
  • Tools – Familiarity with several tools like Tableau, D3.js, R, SQL, Oracle, MS Excel.

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