data strategy lead

Hire Hangar

<div>Join Hire Hangar and work with fast-growing global companies while building a long-term, remote career.<h3 class="jobSectionHeader">
Lead Data Analyst &ndash; Driving Strategy Through Data</h3>
Location: Remote
Are you a data-driven leader who thrives on turning insights into action? We&rsquo;re seeking a Lead Data Analyst to guide our data analytics practice and deliver high-impact insights that fuel strategic growth across the business.
As a senior member of the Analytics team, you&rsquo;ll not only dive deep into datasets but also shape our overall data strategy. You&rsquo;ll partner with cross-functional teams&mdash;from marketing to product to operations&mdash;to uncover trends, forecast outcomes, and influence decision-making at the highest level. You&rsquo;ll also mentor and coach a team of analysts to help them grow their technical and business acumen.
Key Responsibilities:<ul><li>
Lead the development and execution of analytical frameworks to support business goals</li><li>
Collaborate with stakeholders to translate business questions into data projects</li><li>
Design and maintain dashboards, reports, and advanced analytics models</li><li>
Mentor junior analysts and ensure high standards in data quality and storytelling</li><li>
Recommend process improvements based on data-driven insights</li><li>
Stay ahead of industry trends, tools, and best practices</li></ul>
Qualifications:<ul><li>
3+ years of experience in a data analysis or business intelligence role</li><li>
Strong command of SQL and Python/R for analysis and modeling</li><li>
Hands-on experience with BI tools like Tableau, Power BI, or Looker</li><li>
Proven track record of leading projects and teams</li><li>
Excellent communication skills with the ability to explain complex data to non-technical stakeholders</li></ul>
Tools &amp; Technology<ul><li>
Python, SQL, or Scala</li><li>
Apache Airflow, dbt, or equivalent pipeline orchestration tools</li><li>
Snowflake, BigQuery, or Redshift</li><li>
AWS, GCP, or Azure</li><li>
Kafka or Spark (advantageous)</li><li>
Google Workspace</li><li>
Slack, Zoom, Jira, and other remote collaboration tools</li></ul>
Please NOTE
It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps&mdash;the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles
We connect top talent with vetted employers, competitive pay, and real growth opportunities.</div>

Lead Data Analyst

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</li></ul>
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Modeling Engineer

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Principal Data Engineer

The Principal Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), is responsible for designing high-impact data and analytics solutions that help higher education institutions unlock the full value of their data within the Edify platform.

This role sits at the intersection of data architecture, partner strategy, and product innovation. The DSL partners closely with Strategic Leaders, Data Engineers, and Product teams to translate complex institutional challenges into scalable, well-architected data solutions that drive measurable outcomes.

Unlike traditional data engineering roles, the DSL&rsquo;s primary day-to-day work does not focus on building pipelines or writing production code. Instead, they lead discovery, shape solution design, guide implementation, and ensure that delivered solutions are aligned to partner goals, technically sound, and positioned for long-term success.

We are seeking a leader who can connect data systems to real-world impact, bringing both technical depth and consultative strength to help institutions modernize their data ecosystems and explore emerging capabilities such as advanced analytics and AI-driven solutions.

This position is ideally based out of EAB's Washington, D.C. or Richmond, VA office, and is open to remote work within the continental U.S. Occasional travel (up to ~12 days annually) may be required for partner engagements and team collaboration.

This position is also posted at the Senior Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead discovery engagements with institutional stakeholders to translate business questions into clear data and analytic requirements</li>
<li>Design end-to-end data solutions, including data models, integrations, transformation logic, and reporting structures that align with Edify platform best practices and long-term partner data strategy</li>
<li>Serve as a trusted technical advisor to partners, guiding them through complex data challenges and opportunities to expand impact through improved data usage, reporting, and analytics</li>
<li>Mentor or manage Data Engineers and collaborate with Technical Project Managers to guide implementation of designed solutions</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Contribute to the development of advanced capabilities, including predictive analytics, automation, and AI-driven use cases</li>
<li>Provide structured feedback to Product and Engineering teams to inform platform evolution</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>8+ years of experience in data architecture, analytics consulting, or related roles</li>
<li>Strong proficiency in SQL, experience writing and code-reviewing complex stored procedures, and working knowledge of data transformation and modeling concepts</li>
<li>Experience designing data pipelines, integrations, and ware house structures</li>
<li>Deep understanding of how data flows across systems and how it is used to drive business decisions</li>
<li>Demonstrated ability to translate ambiguous problems into structured, actionable solutions</li>
<li>Strong communication skills, with the ability to engage both technical and non-technical audiences</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li></ul> 


Ideal Qualifications:
<ul>
<li>Experience working directly with external stakeholders in a consulting or client-facing capacity</li>
<li>Familiarity with cloud data ecosystems (AWS preferred) and modern data stack concepts</li>
<li>Experience guiding data strategy, analytics roadmaps, or system design decisions</li>
<li>Exposure to advanced analytics, predictive modeling, or AI/ML use cases</li>
<li>Ability to recognize patterns across implementations and drive reusable, scalable solutions</li>
<li>Experience in higher education or similarly complex data environments</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $91,500 &ndash; $130,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Principal Data Engineer

<div>About EAB

At EAB, our mission is to make education smarter and our communities stronger. We work with more than 2,800 institutions to drive transformative change through data-driven insights and best-in-class capabilities. From kindergarten to college to career, EAB partners with leaders and practitioners to accelerate progress and drive results across enrollment, student success, institutional strategy, data analytics, and advancement. We work with each partner differently, tailoring our portfolio of research, technology, and marketing and enrollment solutions to meet the unique needs of every leadership team, as well as the students and employees they serve.

At EAB, we serve not only our partner institutions but each other&mdash;that's why we are always working to make sure our employees love their jobs and are invested in their communities. See how we've been recognized for this dedication to our employees by checking out our recent awards.

For more information, visit our Careers page.

The Role in Brief:

Senior Data Engineer

The Senior Data Engineer, also referred to across the team as the Data Solutions Lead (DSL), is responsible for designing high-impact data and analytics solutions that help higher education institutions unlock the full value of their data within the Edify platform.

This role sits at the intersection of data architecture, partner strategy, and product innovation. The DSL partners closely with Strategic Leaders, Data Engineers, and Product teams to translate complex institutional challenges into scalable, well-architected data solutions that drive measurable outcomes.

Unlike traditional data engineering roles, the DSL&rsquo;s primary day-to-day work does not focus on building pipelines or writing production code. Instead, they lead discovery, shape solution design, guide implementation, and ensure that delivered solutions are aligned to partner goals, technically sound, and positioned for long-term success.

We are seeking a leader who can connect data systems to real-world impact, bringing both technical depth and consultative strength to help institutions modernize their data ecosystems and explore emerging capabilities such as advanced analytics and AI-driven solutions.

This position is ideally based out of EAB's Washington, D.C. or Richmond, VA office, and is open to remote work within the continental U.S. Occasional travel (up to ~12 days annually) may be required for partner engagements and team collaboration.

This position is also posted at the Principal Data Engineer level; candidates are being considered at both levels for the current opening.

Primary Responsibilities:
<ul>
<li>Lead discovery engagements with institutional stakeholders to translate business questions into clear data and analytic requirements</li>
<li>Design end-to-end data solutions, including data models, integrations, transformation logic, and reporting structures that align with Edify platform best practices and long-term partner data strategy</li>
<li>Serve as a trusted technical advisor to partners, guiding them through complex data challenges and opportunities to expand impact through improved data usage, reporting, and analytics</li>
<li>Mentor or manage Data Engineers and collaborate with Technical Project Managers to guide implementation of designed solutions</li>
<li>Identify, investigate, and resolve performance and production issues, proactively recognizing recurring patterns and developing scalable solutions to prevent future occurrences</li>
<li>Contribute to the development of advanced capabilities, including predictive analytics, automation, and AI-driven use cases</li>
<li>Provide structured feedback to Product and Engineering teams to inform platform evolution</li></ul> 


Basic Qualifications:
<ul>
<li>Bachelor's degree in a related field or equivalent professional experience</li>
<li>4+ years of experience in data architecture, analytics consulting, or related roles</li>
<li>Strong proficiency in SQL, experience writing and code-reviewing complex stored procedures, and working knowledge of data transformation and modeling concepts</li>
<li>Experience designing data pipelines, integrations, and warehouse structures</li>
<li>Deep understanding of how data flows across systems and how it is used to drive business decisions</li>
<li>Demonstrated ability to translate ambiguous problems into structured, actionable solutions</li>
<li>Strong communication skills, with the ability to engage both technical and non-technical audiences</li>
<li>Detail-oriented with ability to multitask and adapt to changing priorities</li></ul> 


Ideal Qualifications:
<ul>
<li>Experience working directly with external stakeholders in a consulting or client-facing capacity</li>
<li>Familiarity with cloud data ecosystems (AWS preferred) and modern data stack concepts</li>
<li>Experience guiding data strategy, analytics roadmaps, or system design decisions</li>
<li>Exposure to advanced analytics, predictive modeling, or AI/ML use cases</li>
<li>Ability to recognize patterns across implementations and drive reusable, scalable solutions</li>
<li>Experience in higher education or similarly complex data environments</li>
<li>SPM certifications or demonstrated planning, organizing and time management skills</li>
<li>Commitment to embracing a continual learning environment and contributing to a dynamic and welcoming culture of fairness, authenticity, and belonging in support of EAB&rsquo;s mission, values, and aspiration</li>
</ul>
If you&rsquo;ve reached this section of the job description and are unsure of whether to apply, please do! At EAB, we welcome new perspectives and learn from each other&rsquo;s unique experiences. We would encourage you to submit an application if this is a role you would be passionate about doing every day.

Compensation:

The anticipated starting salary range for this role is $85,500 &ndash; $110,000 per year. Actual salary varies due to factors that may include but not be limited to relevant experience, skills, and location. At EAB, it is not typical for an individual to be hired at or near the top of the starting salary range for their role.

This hire will additionally be eligible for discretionary bonus or incentive compensation. Variable compensation may depend on various factors, including, without limitation, individual and organizational performance.

Benefits:

Consistent with our belief that our employees are our most valuable resource, EAB offers a competitive and inclusive benefits package. Our benefits currently include:
<ul>
<li>Medical, dental, and vision insurance plans; dependents and domestic partners eligible</li>
<li>20+ days of PTO annually, in addition to paid firm and floating holidays</li>
<li>Daytime leave policy for community service and flextime for fitness activities (up to 10 hours per month each)</li>
<li>401(k) retirement savings plan with annual discretionary company matching contribution</li>
<li>Health savings account, healthcare and dependent care flexible spending account, and pre-tax commuter plans</li>
<li>Employee assistance program with counseling services and resources available to all employees and immediate family</li>
<li>Wellness programs including gym discounts, incentives to promote healthy living, and family access to the leading app for sleep, meditation, and relaxation</li>
<li>Fertility treatment coverage and adoption or surrogacy assistance</li>
<li>Paid parental leave with phase back to work program for birthing and non-birthing parents</li>
<li>Access to milk shipping service to support nursing employees during business travel</li>
<li>Discounted pet health insurance coverage for dog and cat family members</li>
<li>Company-provided life, AD&amp;D, and disability insurance</li>
<li>Financial wellness resources and membership in a robust employee discount program</li>
<li>Access to employee resource groups, merit-based advancement, and dynamic professional growth opportunities</li>
</ul>
Benefits kick in day one; learn more at eab.com/careers/benefits.
This opening is not eligible for visa sponsorship at this time; EAB will thus consider candidates who possess U.S. work authorization that does not require employment-based visa sponsorship now or in the future.

At EAB, we believe that to fulfill our mission to &ldquo;make education smarter and our communities stronger&rdquo; we need team members who bring a diversity of perspectives to the table and a workplace where each team member is valued, respected and heard.

To that end, EAB is an Equal Opportunity Employer, and we make employment decisions on the basis of qualifications, merit and business need. We don&rsquo;t discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.</div>

Senior Data Engineer

PetroApp

<div>About the role
We are looking for a highly capable, hands-on Data Lead to build and scale PetroApp&rsquo;s data function.
This role will own the end-to-end data roadmap across analytics, business intelligence, data engineering, governance, and advanced analytics use cases. You will work closely with Product, Engineering, Operations, Commercial, Finance, and Leadership to make data a core competitive advantage for PetroApp.
You will be responsible for building a trusted data foundation, defining the right KPIs, improving decision-making across the company, and enabling high-impact use cases such as transaction analytics, customer growth, fraud/anomaly detection, operational efficiency, and unit economics.
Key responsibilities<ul><li>
Define and own PetroApp&rsquo;s data strategy, roadmap, and operating model.</li><li>
Build and scale the company&rsquo;s data foundation, including ingestion, transformation, modeling, warehousing, and self-service analytics.</li><li>
Create a single source of truth for key business and product metrics.</li><li>
Partner with Product and Engineering to improve instrumentation, event tracking, experimentation, and measurement.</li><li>
Partner with Commercial, Operations, Finance, and Leadership to deliver actionable insights and decision-ready dashboards.</li><li>
Design KPI frameworks for areas such as customer growth, retention, transaction performance, service adoption, operational efficiency, fraud/leakage, and profitability.</li><li>
Build dashboards, reporting layers, and analytical models that support both day-to-day execution and executive decision-making.</li><li>
Establish strong data governance practices, including data quality checks, lineage, documentation, definitions, access controls, and privacy standards.</li><li>
Identify and prioritize high-value use cases for advanced analytics, forecasting, anomaly detection, and automation.</li><li>
Lead root-cause analysis on business or operational issues and convert findings into measurable actions.</li><li>
Hire, mentor, and grow a lean, high-performing data team over time.</li><li>
Act as the internal champion for a strong data culture across PetroApp.</li></ul> 

Requirements 
<ul><li>
10+ years of experience across data analytics, business intelligence, analytics engineering, data engineering, or related fields.</li><li>
2+ years leading major data initiatives, squads, or teams.</li><li>
Strong hands-on expertise in SQL and Python.</li><li>
Experience with modern cloud data stacks and tools such as data warehouses, ETL/ELT pipelines, orchestration tools, transformation frameworks, and BI platforms.</li><li>
Strong experience designing dashboards and reporting for business and executive stakeholders.</li><li>
Proven ability to define KPIs, create semantic consistency, and translate ambiguous business questions into structured analysis.</li><li>
Strong understanding of data modeling, pipeline design, and analytics best practices.</li><li>
Experience working in high-growth environments with cross-functional stakeholders.</li><li>
Excellent communication skills with the ability to influence both technical and non-technical audiences.</li>
Strong ownership mindset and willingness to operate hands-on. 
<li>
</li></ul>
Preferred experience<ul><li>
Experience in SaaS, fintech, payments, mobility, logistics, fleet management, marketplaces, or other transaction-heavy businesses.</li><li>
Experience with fraud analytics, anomaly detection, risk analytics, or reconciliation-heavy environments.</li><li>
Experience building data capabilities in a scaling company, including hiring and team design.</li><li>
Familiarity with experimentation, forecasting, segmentation, and behavioral analytics.</li><li>
Exposure to data governance, privacy, and access management in regulated or sensitive environments.</li></ul>
Why join this role
This is an opportunity to build the data function at the center of a scaling business. The Data Lead will shape how PetroApp measures performance, prioritizes opportunities, reduces leakage, improves customer outcomes, and scales intelligently. 
Benefits 
<ul><li>
You will own and shape the security function in a high-impact, hands-on lead role.</li><li>
You&rsquo;ll work at the intersection of security, reliability, and platform engineering, directly influencing how PetroApp scales.</li><li>
Opportunity to work with a modern tech stack and a team that values pragmatism, automation, and continuous improvement.</li><li>
A culture that cares about doing the right thing for customers and partners, with leadership support for investing in security and reliability.</li></ul></div>

Lead Data Engineer

Nawaya Digital Transformation Partners

Job Title: Chief Data &amp; Analytics Officer (CDAO)Nawaya Digital Transformation Partners is seeking a Chief Data &amp; Analytics Officer (CDAO) to lead enterprise-wide data strategy, advanced analytics, and AI-driven transformation initiatives.This executive role is designed for a senior leader who can shape data vision, build scalable analytics ecosystems, and drive measurable business value through data intelligence and innovation.The role offers the opportunity to work at the intersection of data, AI, cloud, and enterprise transformation across regional and international clients.Why This Role Is Attractive<ul><li>Executive leadership role with high strategic impact</li><li>Opportunity to design and lead enterprise data and AI strategy</li><li>Exposure to large-scale digital transformation programs</li><li>Work with modern cloud, AI, and analytics technologies</li><li>Competitive executive compensation package</li><li>Strong career growth and regional leadership exposure</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data and analytics strategy</li><li>Lead AI, machine learning, and advanced analytics initiatives</li><li>Establish data governance, compliance, and quality frameworks</li><li>Drive organization-wide adoption of data-driven decision-making</li><li>Oversee enterprise BI platforms and cloud data architecture</li><li>Collaborate with executive leadership on digital transformation initiatives</li><li>Build and lead high-performing data and analytics teams</li><li>Identify opportunities to monetize enterprise data assets</li><li>Ensure scalability, security, and reliability of data systems</li></ul>Key Requirements<ul><li>12+ years of experience in data, analytics, or digital leadership roles</li><li>Experience in enterprise data strategy or senior data leadership roles</li><li>Strong background in AI, machine learning, and big data technologies</li><li>Expertise in cloud platforms (AWS, Azure, or Google Cloud)</li><li>Strong understanding of data governance and enterprise architecture</li><li>Proven experience leading cross-functional teams</li><li>Master&rsquo;s degree in Data Science, Computer Science, Engineering, or related field preferred</li></ul>About the CompanyNawaya Digital Transformation Partners is a consulting and technology advisory firm focused on enterprise digital transformation, AI adoption, cloud modernization, and advanced analytics strategy across the GCC region.The organization works with enterprise and government clients to convert data into strategic insights and scalable digital capabilities.How to ApplyInterested candidates are invited to submit their CV for consideration. Shortlisted applicants will be contacted for further discussion.Pay: QAR55,000.00 - QAR90,000.00 per monthWork Location: In person

Chief Data & Analytics Officer

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Chief Data & Analytics Officer