data engineering manager

Apple

<div>The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Imagine what you could do here.<br>
<br>
Are you passionate about handling large &amp; complex data problems, want to make an impact and have the desire to work on groundbreaking big data technologies? Then we are looking for you.<br>
<br>
At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Would you like to work in a fast-paced environment where your technical abilities will be challenged on a day-to-day basis? If so, Apple's Business Intelligence team is looking for passionate, detail-oriented, technical savvy, energetic leader who like to think outside the box. Someone who is self motivated and ready to lead team of most talented engineers building high quality, scalable and resilient distributed systems that power apple's analytics platform and data pipelines.<br>
<br>
AiDP (Artificial Intelligence and Data Platform) team deals with petabytes of data catering to a wide variety of real-time, near real-time and batch analytical solutions. These solutions are integral part of business functions like Anti Fraud, Retail, Sales, Operations, Finance, AppleCare, Marketing and Internet Services, enabling business drivers to make critical decisions. We leverage a diverse technology stack such as Snowflake, Spark, HANA, SingleStore, Kafka, Iceberg, Cassandra and beyond. Designing, developing and scaling these big data solutions are a core part of our daily job.<br>
<br>
<b>Description</b><br>
<ul><li>Lead Data Warehouse/Business Intelligence development team in building Analytics solutions</li><li>Lead the design for database and data pipeline/ETL using emerging technologies and tools</li><li>Lead the reporting and dashboarding solutions using innovative packaged and custom-built tools</li><li>Drive the team to develop operationally efficient analytic solutions</li><li>Manage resources/budget and partner with global functional and business teams. Manage multiple teams and projects</li><li>Define standards &amp; methodologies for Data Warehousing environment</li><li>Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems</li><li>Translate complex business requirements into scalable technical solutions meeting data warehousing design standards. Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency</li><li>Lead/Work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams</li><li>Lead and mentor people and plan their career growth and focus on creating a cohesive team environment</li><li>Thrives in a dynamic environment, maintaining composure and a positive attitude.</li></ul><br>
<b>
Preferred Qualifications</b><br>
Experience in building high quality applications, data pipelines and analytics solutions ensuring data privacy and regulatory compliance.<br>
Experience working with Business Stakeholders to understand requirements and ability to translate them into scalable and sustainable solutions.
<br>
Should be proficient in writing Advanced SQLs, expertise in performance tuning of SQLs.
<br>
Experience with data science and machine learning tools and technologies is a plus<br>
Demonstrate good understanding of development processes and agile methodologies<br>
Strong analytical and communication skills.
<br>
Should be self-driven, highly motivated and ability to learn quickly and lead by example.<br>
<br>
<b>Minimum Qualifications</b><br>
Experience in leading, hiring, developing and building data engineering team and providing them technical direction.<br>
Experience managing Annual performance reviews, setting SMART goals for team members and invested lead in team member career development.
<br>
Experience working with cloud technologies and big data stack be it Amazon AWS, Snowflake, Microsoft Azure or Google GCP.<br>
Experience in designing and building dimensional data models to improve accessibility, efficiency and quality of data.<br>
Bachelor&rsquo;s Degree or Equivalent with 10+ years of experience in data engineering, computer science or statistics field with at least 2+ years of experience in leadership/management&quot;,&quot;internalDetails&quot;:null,&quot;eeoContent&quot;:null</div>

Cloud Data Engineering Manager

Ameriprise Financial

<div>Job Description Summary<br>
We are seeking a highly skilled ServiceNow Platform Security Engineering Lead to architect and implement secure, scalable, and data-driven solutions within the ServiceNow ecosystem. This role will focus on platform-level security, identity and access management, and data engineering, ensuring compliance, governance, performance, and reliability across ServiceNow modules and integrations.<p></p><p><b>
Key Responsibilities</b></p><ul><li><p><b>
ServiceNow Authorization &amp; Authentication Engineering</b></p></li></ul><ul><li>Design and implement secure authentication mechanisms using SAML 2.0, OAuth 2.0, LDAP, and Multi-Factor Authentication (MFA).</li><li>Architect and manage Role-Based Access Control (RBAC) across ServiceNow modules, ensuring least-privilege access and separation of duties.</li><li>Define and enforce Access Control Lists (ACLs) at the table, field, and record levels to protect sensitive data.</li><li>Implement Scoped Application permissions to isolate functionality and restrict access to specific modules or components.</li><li>Define and own User groups and locations in the platform.</li><li>Develop and maintain user provisioning and de-provisioning workflows integrated with enterprise IAM systems.</li><li>Monitor and audit login activity, session management, and access violations using native ServiceNow tools</li><li>Collaborate with InfoSec and IAM teams to align ServiceNow access policies with enterprise security standards and compliance frameworks.</li><li><p><b>
Security Strategy &amp; Compliance
</b></p></li></ul><ul><li>Define and enforce compliance to security policies, standards, and best practices for the ServiceNow platform in alignment with ServiceNow recommended Platform security shared responsibility model.</li><li>Ensure service now platform is compliant with internal and external infosec requirements and industry best practices</li><li>Establish governance frameworks for secure development, data protection, and risk mitigation.</li><li><p><b>
Data Privacy, Security &amp; Encryption
</b></p></li></ul><ul><li>Defining/Implement Service Now data classification, data retention &amp; data discovery strategy in alignment with Ameriprise data management policies /standards</li><li>Implement data encryption strategy at rest, in transit &amp; encryption key management
</li><li>Determining the data collection, storage, usage, sharing, archiving, and destruction policy of data processed in ServiceNow instances.</li><li>Monitor access patterns and system activity to identify potential security threats.</li><li><p><b>
Secure Integrations &amp; Automation
</b></p></li></ul><ul><li>Ensure and mature secure API management for integrations between ServiceNow and third-party security tools (e.g., Active Directory, CyberArk and Aveksa, Azure AD, RIM, IAM).</li><li>Ensure secure data exchange and prevent unauthorized access to ServiceNow instances.</li><li><p><b>
Leadership &amp; Collaboration</b></p></li></ul><ul><li>Mentor platform engineers and developers on secure coding, identity management, and data handling best practices.</li><li>Collaborate with cybersecurity, data, and infrastructure teams to ensure platform alignment with enterprise architecture.</li><li>Lead technical design reviews, platform governance, and roadmap planning for platform security aspects</li></ul><p><b>
Required Skills &amp; Qualifications:</b></p><p>
 <b>Technical Expertise:
</b></p><ul><li>ServiceNow Security: Deep understanding of ServiceNow Security design Components (ACLs , RBAC, etc.) and platform security best practices.</li><li>Integration &amp; Development: Experience with REST APIs, JavaScript, OAuth, and secure integration practices.</li><li>Cloud Security: Understanding of SaaS security, encryption methods, and cloud-based security models.</li></ul><p><b>
 Certifications
</b></p><ul><li>Certified System Administrator (CSA)</li><li>Knowledge of Service Now Data fundamental (CMDB and CSDM)</li></ul><p>
 <b>Preferred Qualifications:
</b></p><ul><li>Experience securing large-scale ServiceNow implementations in regulated industries (finance, healthcare, government).</li><li>Strong problem-solving, analytical, and communication skills to interact with technical and non-technical stakeholders.</li><li>Knowledge of emerging security trends, zero trust architecture, and AI-driven security solutions.</li></ul><p>
 <b>Experience Required:
</b></p><ul><li>14-18 years of total IT experience, with 10+ years in ServiceNow&amp; platform security architecture design, administration, or operations.</li></ul><p></p><p><b>
About Our Company</b><br>
Ameriprise India LLP has been providing client based financial solutions to help clients plan and achieve their financial objectives for 125 years. We are a U.S. based financial planning company headquartered in Minneapolis with a global presence. The firm&rsquo;s focus areas include Asset Management and Advice, Retirement Planning and Insurance Protection. Be part of an inclusive, collaborative culture that rewards you for your contributions and work with other talented individuals who share your passion for doing great work. You&rsquo;ll also have plenty of opportunities to make your mark at the office and a difference in your community. So if you're talented, driven and want to work for a strong ethical company that cares, take the next step and create a career at Ameriprise India LLP.</p><p></p><p>
Ameriprise India LLP is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, genetic information, age, sexual orientation, gender identity, disability, veteran status, marital status, family status or any other basis prohibited by law.</p><p></p><div><div><div><div><div><div><div><p><b>
Full-Time/Part-Time</b></p></div></div></div></div></div></div></div>
Full time<p></p><div><div><div><div><div><div><div><p><b>
Timings</b></p></div></div></div></div></div></div></div>
(2:00p-10:30p)<p></p><div><div><div><div><div><div><div><p><b>
India Business Unit</b></p></div></div></div></div></div></div></div>
AWMPO AWMP&amp;S President's Office<p></p><div><div><div><div><div><div><div><p><b>
Job Family Group</b></p></div></div></div></div></div></div></div>
Technology</div>

ServiceNow Platform Data Security Engineering- Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>As a Data Engineering Manager, you will lead the design, development, and optimization of modern data platforms and pipelines on Azure and Databricks. You will oversee a team of data engineers and collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
<br>
This role requires deep expertise in cloud data architecture, hands-on experience with Azure data services (including Microsoft Fabric), and advanced proficiency in Databricks for batch and real-time data engineering. You will also be responsible for mentoring team members, driving technical excellence, and aligning data engineering initiatives with business strategy.
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities
</b></h3><ul><li>Lead the end-to-end delivery of data engineering projects, ensuring alignment with business goals and technical standards.
</li><li>Architect and oversee the implementation of scalable data pipelines across structured, semi-structured, and unstructured data sources.
</li><li>Guide the adoption of best practices in data ingestion, transformation, and orchestration using Azure Data Factory, Synapse, and Microsoft Fabric.
</li><li>Drive performance optimization and scalability of ETL/ELT processes using Databricks (PySpark, SQL, Delta Lake).
</li><li>Establish and enforce data governance, quality, lineage, and observability frameworks.
</li><li>Collaborate with solution architects and business leaders to define modern data architectures and ensure compliance with security and privacy regulations.
</li><li>Facilitate technical workshops, stakeholder engagements, and roadmap planning sessions.
</li><li>Mentor and develop junior engineers, fostering a culture of innovation, accountability, and continuous learning.
</li></ul><h3 class="jobSectionHeader"><b>Required Skills &amp; Experience
</b></h3><ul><li><b>7&ndash;10 years </b>of experience in data engineering, with at least <b>3 years in a leadership or managerial role </b>.
</li><li>Proven track record of delivering enterprise-grade data solutions in consulting or large-scale environments.
</li><li>Advanced hands-on experience with:
<ul><li><b>Azure Data Platform </b>: Data Factory, Synapse Analytics, Azure Data Lake Storage, Microsoft Fabric, Event Hub/IoT Hub, Azure Functions.
</li><li><b>Databricks </b>: PySpark, Spark SQL, Delta Lake, Unity Catalog, Databricks Workflows.
</li></ul></li><li>Strong proficiency in <b>Python and SQL </b>for large-scale data processing.
</li><li>Expertise in data modeling, medallion architecture, and lakehouse principles.
</li><li>Familiarity with CI/CD pipelines, DevOps practices, and version control systems (e.g., Git, Azure DevOps).
</li><li>Experience implementing data governance and observability tools.
</li><li>Strategic mindset with the ability to balance technical depth and business impact.
</li></ul><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Engineer, Manager

Envision Employment Solutions

<p><b>Envision Employment Solutions</b> is currently hiring a <b>Data Science Manager</b> on behalf of one of our partners, a leader in the retail Motor Vehicles field.</p> Job Summary <p>As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.</p> Responsibilities <ul> <li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li> <li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li> <li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li> <li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li> <li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li> <li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li> <li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li> <li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li> <li>Monitor and optimize the performance of data systems and solutions across the organization.</li> </ul> Qualifications <ul> <li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li> <li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li> <li>Proficiency in programming languages such as Python or R.</li> <li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li> <li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li> <li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li> <li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li> <li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li> <li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li> <li>Proactive, innovative mindset with keen attention to detail.</li> <li>Ability to manage multiple projects and priorities in a fast-paced environment.</li> <li>Experience with data visualization tools and techniques.</li> <li>Having an automotive background is a <b>PLUS</b>.</li> </ul>

Data Science Manager

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<p></p><p><b>Why PWC
</b></p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
</p><p></p><p>Responsibilities:
</p><p>Job Title: Manager- Databricks Location: Bengaluru, Gurugram Job Type: Full-Time Job Overview: Job Summary: We are seeking a talented Data Engineer with strong expertise in Databricks, specifically in Unity Catalog, PySpark, and SQL, to join our data team. You&rsquo;ll play a key role in building secure, scalable data pipelines and implementing robust data governance strategies using Unity Catalog. Key Responsibilities: Design and implement ETL/ELT pipelines using Databricks and PySpark. Work with Unity Catalog to manage data governance, access controls, lineage, and auditing across data assets. Develop high-performance SQL queries and optimize Spark jobs. Collaborate with data scientists, analysts, and business stakeholders to understand data needs. Ensure data quality and compliance across all stages of the data lifecycle.
</p><p>Implement best practices for data security and lineage within the Databricks ecosystem. Participate in CI/CD, version control, and testing practices for data pipelines. Required Skills: Proven experience with Databricks and Unity Catalog (data permissions, lineage, audits). Strong hands-on skills with PySpark and Spark SQL. Solid experience writing and optimizing complex SQL queries. Familiarity with Delta Lake, data lakehouse architecture, and data partitioning. Experience with cloud platforms like Azure or AWS. Understanding of data governance, RBAC, and data security standards. Preferred Qualifications: Databricks Certified Data Engineer Associate or Professional. Experience with tools like Airflow, Git, Azure Data Factory, or dbt. Exposure to streaming data and real-time processing. Knowledge of DevOps practices for data engineering.
</p><p>Mandatory skill sets:
</p><p>Databricks
</p><p>Preferred skill sets:
</p><p>Databricks
</p><p>Years of experience required: 7-12 years
</p><p>Education qualification:
</p><p>BE/BTECH, ME/MTECH, MBA, MCA
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of Technology, Bachelor of Engineering
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Data Engineering, Microsoft Azure
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Manager_Databricks_Data Analytics_Advisory_Bangalore

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Technology
<p></p><p><b>Specialism
</b></p>Advisory - Other
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>As a Data Engineering Manager, you will lead the design, development, and optimization of modern data platforms and pipelines on Azure and Databricks. You will oversee a team of data engineers and collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing data solutions that enable advanced analytics, AI, and business insights for enterprise clients.
<br>
We are seeking a client-facing Data Governance Manager to design and implement governance programs that enable trusted, compliant, and high-quality data across our clients&rsquo; enterprises. You will lead governance operating models, policies, metadata and catalog initiatives, data quality management, and privacy/security controls&mdash;working closely with stakeholders in Data/Analytics, Engineering, Security, Risk, Legal, and business domains across the Middle East.
<p></p><div><div><p>Key Responsibilities
</p></div><div><ul><li><p>Strategy and Operating Model
</p></li></ul></div><div><ul><li><p>Define a pragmatic data governance strategy aligned to client business outcomes.
</p></li></ul></div><div><ul><li><p>Establish governance operating models (councils, RACI, data owner/steward roles).
</p></li></ul></div><div><ul><li><p>Develop and maintain policies, standards, and procedures (quality, metadata, classification, access , retention ).
</p></li></ul></div><div><ul><li><p>Metadata, Catalog, and Lineage
</p></li></ul></div><div><ul><li><p>Stand up and administer enterprise data catalogs and business glossaries.
</p></li></ul></div><div><ul><li><p>Identify and manage critical data elements (CDEs) and data domains with clear ownership.
</p></li></ul></div><div><ul><li><p>Drive metadata standards and automated lineage for impact analysis and change control.
</p></li></ul></div><div><ul><li><p>Data Quality Management
</p></li></ul></div><div><ul><li><p>Define data quality dimensions, rules, thresholds, and SLAs for priority datasets.
</p></li></ul></div><div><ul><li><p>Implement monitoring, alerting, and issue management; drive RCA and remediation.
</p></li></ul></div><div><ul><li><p>Partner with engineering to embed quality checks into pipelines and data contracts.
</p></li></ul></div><div><ul><li><p>Privacy, Security, and Compliance (Middle East focus)
</p></li></ul></div><div><ul><li><p>Implement data classification and handling standards; support privacy-by-design.
</p></li></ul></div><div><ul><li><p>Partner with Security/IAM on RBAC/ABAC, masking, encryption, and least-privilege access.
</p></li></ul></div><div><ul><li><p>Support compliance with regional and international regulations, such as:
</p></li></ul></div><div><ul><li><p>Egypt Personal Data Protection Law (Law 151/2020)
</p></li></ul></div></div><div><div><ul><li><p>KSA PDPL, UAE Data Protection Law, Bahrain PDPL, Qatar PDP Law
</p></li></ul></div><div><ul><li><p>GDPR/CPRA (as applicable to client operations)
</p></li></ul></div><div><ul><li><p>Sectoral requirements (e.g., SOX, PCI DSS, HIPAA where relevant)
</p></li></ul></div><div><ul><li><p>Advise on cross-border data transfer, residency, and sovereignty considerations.
</p></li></ul></div><div><ul><li><p>Lifecycle and Risk
</p></li></ul></div><div><ul><li><p>Define retention/disposal schedules, archival practices, and defensible disposition.
</p></li></ul></div><div><ul><li><p>Review new data sources, sharing agreements, and vendors for governance and risk impacts.
</p></li></ul></div><div><ul><li><p>Change Management and Adoption
</p></li></ul></div><div><ul><li><p>Lead governance councils and steward communities; drive accountability and adoption.
</p></li></ul></div><div><ul><li><p>Deliver communications, training, and data literacy programs to uplift capabilities.
</p></li></ul></div><div><ul><li><p>Reporting and KPIs
</p></li></ul></div><div><ul><li><p>Build governance scorecards covering DQ health, lineage coverage, glossary adoption, and policy compliance.
</p></li></ul></div><div><ul><li><p>Report progress and risks to client executives and audit/compliance stakeholders.
</p></li></ul></div><div><ul><li><p>Tools and Enablement
</p></li></ul></div><div><ul><li><p>Evaluate, implement, and manage governance tooling (catalog, DQ, lineage, MDM).
</p></li></ul></div><div><ul><li><p>Create playbooks, templates, and self-service guides to scale best practices.
</p></li></ul></div><div><ul><li><p>Consulting and Practice Development
</p></li></ul></div><div><ul><li><p>Contribute to proposals, SOWs, and solutioning; estimate effort and plan deliveries.
</p></li></ul></div><div><ul><li><p>Coach junior team members; contribute to accelerators and thought leadership.<br>
</p></li></ul></div></div><p></p><div><div><p>What You&rsquo;ll Bring
</p></div><div><ul><li><p>5+ years in data governance/data management, with at least 2 years leading multi-stakeholder initiatives; consulting experience preferred.
</p></li></ul></div><div><ul><li><p>Strong grounding in DAMA-DMBOK and/or DCAM, and practical experience with:
</p></li></ul></div><div><ul><li><p>Data ownership/stewardship models and governance forums
</p></li></ul></div><div><ul><li><p>Data cataloging, business glossary, and lineage
</p></li></ul></div><div><ul><li><p>Data quality frameworks and issue management
</p></li></ul></div><div><ul><li><p>Data classification, access governance, retention, and lifecycle
</p></li></ul></div><div><ul><li><p>Hands-on experience with relevant tools and platforms (one or more):
</p></li></ul></div><div><ul><li><p>Catalog/metadata: Collibra, Alation, Informatica Axon/EDC, Atlan, Microsoft Purview
</p></li></ul></div><div><ul><li><p>Data quality/observability: Informatica IDQ, Great Expectations, Monte Carlo, Bigeye
</p></li></ul></div><div><ul><li><p>MDM: Informatica, Reltio, Semarchy
</p></li></ul></div><div><ul><li><p>Lineage: Built-in catalog lineage, MANTA, OpenLineage
</p></li></ul></div><div><ul><li><p>Cloud/data platforms: Azure (incl. Purview), AWS, GCP, Snowflake, Databricks; strong SQL
</p></li></ul></div><div><ul><li><p>Understanding of IAM concepts (RBAC/ABAC), masking/tokenization, API governance, CDC/event schemas, and data-sharing patterns.
</p></li></ul></div><div><ul><li><p>Familiarity with ISO 27001, NIST CSF, SOC 2 is a plus.
</p></li></ul></div><div><ul><li><p>Excellent communication, facilitation, and stakeholder management skills; ability to translate technical concepts into business outcomes.
</p></li></ul></div><div><ul><li><p>Education: Bachelor&rsquo;s degree in Information Systems , Computer Science, Data/Analytics, or related field; advanced degree/certifications (CDMP, DCAM, Collibra Ranger, CIPP/CIPM/CIPT) are a plus.
</p></li></ul></div><div><ul><li><p>Language: Fluent English required ; Arabic is a strong plus.
</p></li></ul></div><div><ul><li><p>Work authorization in Egypt.
</p></li></ul></div><div><p>Working Model and Travel
</p></div></div><div><div><ul><li><p>Hybrid role based in Cairo ETIC; collaboration aligned with Gulf business hours as needed.
</p></li></ul></div><div><ul><li><p>Regional travel to client sites across the Middle East may be required (up to 20&ndash;30%), subject to project needs.<br>
</p></li></ul></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required:
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p><p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p>Not Specified
<p></p><p><b>Available for Work Visa Sponsorship?
</b></p>No
<p></p><p><b>Government Clearance Required?
</b></p>No
<p></p><p><b>Job Posting End Date</b></p></div><p></p>

ETIC, Data Governance, Manager

Envision Employment Solutions is currently hiring a Data Science Manager on behalf of one of our partners, a leader in the retail Motor Vehicles field.
<br><br>
<b>Job Summary:</b><br>
As a Data Science Manager, you will manage and guide a multidisciplinary team of data scientists, BI analysts, and data engineers. Your primary responsibility will be to lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes that drive strategic business insights and decision-making. You will ensure the successful execution of data projects, maintain high data integrity, and align data initiatives with overarching business goals. You'll be a part of a diverse and dynamic team that values ownership and encourages positive disruption.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Manage, mentor, and develop a multidisciplinary team of data scientists, BI analysts, and data engineers, fostering a culture of collaboration and innovation.</li>
<li>Lead the development and implementation of advanced analytics, business intelligence solutions, and data engineering processes to address complex business challenges.</li>
<li>Work with cross-functional teams to uncover opportunities for leveraging data to drive business strategies and solutions.</li>
<li>Ensure the accuracy, reliability, and integrity of data used in analysis, modeling, and reporting.</li>
<li>Communicate findings and insights to senior management and other key stakeholders in a clear and impactful manner.</li>
<li>Stay abreast of the latest advancements in data science, machine learning, BI tools, and data engineering technologies.</li>
<li>Oversee the deployment of machine learning models into production systems and ensure seamless integration with BI and data engineering solutions.</li>
<li>Maintain comprehensive documentation of data science, BI, and data engineering processes, methodologies, and best practices.</li>
<li>Monitor and optimize the performance of data systems and solutions across the organization.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>5 to 7 years in a data-related role, with at least 2 years in a leadership or managerial position.</li>
<li>Extensive experience in statistical analysis, machine learning, business intelligence, and data engineering.</li>
<li>Proficiency in programming languages such as Python or R.</li>
<li>Strong proficiency in BI tools such as Tableau, Power BI, or Looker.</li>
<li>Advanced SQL skills, with the ability to query and manipulate complex data sets efficiently.</li>
<li>Experience with data warehousing concepts and technologies (e.g., Google BigQuery, Snowflake).</li>
<li>Proficient in data modeling, ETL (Extract, Transform, Load) processes, and data pipeline development.</li>
<li>Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.</li>
<li>Excellent communication skills, capable of presenting complex information clearly and concisely.</li>
<li>Proactive, innovative mindset with keen attention to detail.</li>
<li>Ability to manage multiple projects and priorities in a fast-paced environment.</li>
<li>Experience with data visualization tools and techniques.</li>
<li>Having an automotive background is a PLUS.</li>
</ul>


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