manager of data

Suncoast Credit Union

<div>Overview:
<div><b>
Compensation:</b> $105,000 - $150,000 annually <i>based on experience and credentials</i></div><div><b>
Location Type:</b> Remote (candidate must reside in FL)<br>
<b>Position Type:</b> Full Time</div><div></div><div><br>
The Data Engineering Manager will oversee the credit union's data engineering team, ensuring the design, evaluation, and testing of robust data infrastructures. This role involves managing the daily operations of the data engineering team, coordinating with various departments to meet data needs, and implementing best practices for data management and infrastructure. The manager will foster a culture of innovation, collaboration, and continuous improvement within the team to support the organization's strategic goals. Additionally, the manager will assign work and delegate responsibilities to staff, monitoring progress to ensure goals are met and high-quality member service is maintained.</div>
Responsibilities:
<ul><li>Manage the daily operations of the data engineering team, fostering a culture of innovation, collaboration, and continuous improvement.</li><li>
Manages the Credit Union's data infrastructure to develop operational data pipelines</li><li>
Guide the team in utilizing Azure Data Factory to create pipelines, tuning databases and ETL for maximum performance, performing data profiling, cleansing, and auditing, architecting advanced data solution</li><li>
Supervise the design and development of ETL processes for extracting data from multiple source systems, transforming it, and loading it into data platforms</li><li>
Leverages the Agile framework to prioritize and complete ad hoc and department-related tasks</li><li>
Leverage existing data infrastructure to fulfill data-related requests, perform data housekeeping,cleansing, normalization, hashing, and implement required data model changes</li><li>
Oversee the deployment of data architectures based on standards set by the manager to drive Suncoast's data strategy and transform business strategies into information architectures.</li><li>
Provides technical assistance to end-users and technical staff regarding system and reporting issues.
</li><li>Inform end-users and technical support staff on data warehouse applications and reporting services.</li><li>
Review and recommend new methods or procedures to make daily operations more efficient</li><li>
Perform considerable short-term planning, scheduling, and coordinating to develop and implement business objectives</li><li>
Set goals for assigned teams to achieve operational and strategic results</li><li>
Provide guidance, mentoring, and development opportunities for directly reporting staff</li><li>
Cultivate strong working relationships, build trust among team members, and respond appropriately to employees' concerns</li><li>
Assist with the development, monitoring, and maintenance of the annual budget</li><li>
Assist with regulatory compliance to ensure work is completed in accordance with applicable laws and government regulations</li><li>
Maintain knowledge and understanding of current trends, laws, and issues affecting area of expertise</li><li>
Attend educational events to increase professional knowledge</li><li>
Complete annual compliance and info security training to understand employees' role in maintaining effective compliance and security programs</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in computer science, data science, information technology, information systems, engineering, mathematics or a related field required.</li><li>
5 or more years progressively responsible experience in data engineering, preferably with a financial institution. Previous supervisory experience required.</li><li>
Advanced technical skills including SQL DW, SSRS, PowerBI, and other data visualization software knowledge required.</li><li>
Proficient knowledge of Azure or Apache Spark required</li><li>
Proficiency in SQL, Python, Delta Lake, Azure Data Factory, and other relevant technologies</li><li>
Skills in using Databricks Unity Catalog for data management and proficiency in writing and managing Databricks notebooks</li><li>
A solid understanding of Blob / Data Lake Storage.</li><li>
Excellent organization, prioritization and analytical skills to effectively manage areas of responsibility and attain organizational goals</li><li>
Excellent written, verbal, and interpersonal communication skills to interact effectively with members, staff, vendors, and government regulators</li><li>
Ability to analyze and resolve complex problems or situations</li><li>
Ability to positively influence others regarding policies, practices, and procedures</li><li>
Strong knowledge and understanding of credit union products, services, policies, and procedures preferred</li><li>
Strong knowledge and understanding of regulatory compliance</li><li>
Strong knowledge and understanding of credit union computer systems and software applications required to perform job duties preferred</li></ul><p></p><div><b><br>
Benefits</b></div><ul><li><b>
Financial Well-Being:</b> Bonus Program up to 18%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts</li><li><b>
Wellness:</b> Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage</li><li><b>
Work-Life Balance:</b> 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO</li><li><b>
Community Involvement:</b> Paid Volunteer Hours</li><li><b>
Growth:</b> Degree Assistance up to $5,000 per year</li></ul><div><i>
For more information, including additional benefits, please visit our benefits website at</i> <b>https://careers.suncoastcreditunion.com/benefits</b></div><div></div><div><b><br>
Company Overview</b></div><div>
Suncoast Credit Union is consistently chosen as a Tampa Bay Times Top Workplace because its employees genuinely #LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community.<br>
<i>For more information, please visit our careers site at</i> <b>https://careers.suncoastcreditunion.com/</b></div></div>

Manager of Data Engineering

ReUp Education

<div><h3 class="jobSectionHeader"><b>What we do</b></h3><p>
Founded in 2015, ReUp Education is the only organization that focuses exclusively on helping colleges and universities engage and re-enroll the more than 40 million US residents who have &ldquo;stopped out&rdquo; and support them until graduation, through our patented technology-enabled service. To date, we have re-enrolled over 57,000 students for our university partners. As of July 2025, ReUp Education partners with 140 active schools and a total of 1.78 million learners. To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to connect the supply of educational opportunities with the demand for skilled and credentialed workforce professionals.</p><p><b><br>
About the role</b></p><ul><li>
ReUp Education is looking for a <b>Senior Manager of Data Engineering</b> to help us empower more adult learners and educational institutions by leading a team that ingests, transforms, stores, and provides access to the data powering our products and services. This is both a people leadership and technical delivery role, ideal for someone who enjoys coaching engineers and doing hands-on work as needed in a fast-paced, mission-driven environment. You will work closely with cross-functional partners to translate business, client, and learner requirements into technical solutions for a rapidly growing company.</li></ul><p><b>
What you'll do</b></p><ul><li>
Lead, manage, and develop a team of data engineers, fostering a culture of technical excellence, independence, collaboration, and accountability.</li><li>
Create and execute a Data Engineering roadmap that helps ReUp to achieve its goals.</li><li>
Partner with technology, analytics, finance, B2B, and B2C teams to define data requirements, and design and develop solutions that drive value for ReUp&rsquo;s clients and learners.</li><li>
Oversee the design, development, testing, implementation, maintenance, and continuous improvement of data pipelines and warehouses that ingest, transform, store, and provide access to student and institutional data to power business intelligence products, ML models, cloud-based web applications, and marketing and coaching services.</li><li>
Champion automation, observability, and performance to ensure ReUp&rsquo;s pipeline efficiently and reliably delivers quality data to end users.</li><li>
Proactively identify, triage, and resolve data quality and availability issues through root-cause analysis, remediation, monitoring, and cross-functional collaboration.</li><li>
Define and monitor SLAs for data quality, workflow status and runtime, incident response and resolution time, and team velocity.</li><li>
Define and implement data engineering standards and best practices.</li><li>
Support data security, compliance, and governance initiatives.</li></ul><p><b>
Qualifications</b></p><p><i>
Research shows that women and people from underrepresented groups often only apply to jobs if they meet all of the qualifications. However, no one ever meets 100% of the qualifications. ReUp encourages you to break that statistic and to apply. We look forward to your application.</i></p><ul><li>
8+ years of data engineering experience.</li><li>
3+ years of experience managing a high-performing data engineering team.</li><li>
Experience developing and maintaining large-scale data pipelines and warehouses in a production environment.</li><li>
Strong fluency in SQL and Python.</li><li>
Experience working with cloud data platforms such as AWS, and data warehouses such as Redshift or Snowflake.</li><li>
Experience working with orchestration tools such as Airflow, and data integration tools such as Stitch or CData.</li><li>
Experience working with version control tools such as GitHub.</li><li>
Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical discipline.</li><li>
Strong communication, collaboration, and problem solving skills.</li><li><div><ul><li>
Nice to haves:</li><li><div><ul><li>
Experience syncing data to and from Salesforce, Iterable, and/or cloud-based web applications.</li><li>
Experience developing a curated data layer for data visualization tools such as Tableau.</li><li>
Experience developing, deploying, and maintaining AI/ML models in production.</li><li>
Experience with Agile engineering practices.</li><li>
Experience working in higher education, education technology, and/or a startup.</li></ul></div></li></ul></div></li></ul><p><b>
Benefits</b></p><ul><li>
Medical, dental, and vision insurance for employees</li><li><div><ul><li>
We pay 100% of the employee's premium and 50% of any dependents' premiums</li><li>
Contribute up to $1000 to employee HSA/$2000 to employee + dependent HSA</li><li>
PPO Buy-up plan available</li><li>
FSA available</li></ul></div></li><li>
Company paid short-term disability, long-term disability, and life insurance for employee</li><li>
Flexible time off and remote work opportunity</li><li>
Up to 80 hours of dedicated sick time annually to support your well-being and work-life balance</li><li>
15 paid holidays per year (including Juneteenth and the last week of the calendar year)</li><li>
Company wellness days (2 per year)</li><li>
Day of Service (Paid day for volunteering)</li><li>
401(k) plan</li><li>
Paid parental leave (12 weeks primary parental leave, 6 weeks secondary parental leave)</li><li>
A diverse team that fosters a high level of collaboration despite being highly distributed</li></ul><h3 class="jobSectionHeader"><b>
Location</b></h3><p></p><p><br>
ReUp is a remote organization with a geographically distributed team. This position will be based remotely in one of the states listed: AL, AZ, CA, CO, DE, FL, GA, IL, LA, MA, MI, MN, MO, MT, NC, NH, NJ, NY, OH, OR, PA, SC, TN, TX, VA, WA, and WI.</p><h3 class="jobSectionHeader"><b>
Company Culture</b></h3><p>
REDEFINE THE POSSIBLE * INNOVATE WITH PURPOSE * RESILIENT BY DESIGN * ACHIEVE BEYOND EXPECTATIONS * THRIVE TOGETHER</p><p>
At ReUp, our values guide everything we do. We <b>redefine the possible</b> by bringing energy, boldness, and vision to every challenge, breaking barriers and delivering outcomes that redefine success. We <b>innovate with purpose</b>, developing impactful solutions that inspire our partners, learners, and teams&mdash;always rooted in balance, authentic collaboration, and integrity. We are <b>resilient by design</b>, empowering learners, teams, and organizations to adapt, grow, and lead with strength in a changing world. We <b>achieve beyond expectations</b> by harnessing the power of data and evidence-based strategies to deliver measurable, outsized results that create lasting impact for all stakeholders. And we <b>thrive together</b>, believing that through collective action, opportunities are not finite and limited but expandable, creating an ecosystem of growth and collaboration.</p><p></p><p><br>
ReUp Education is an equal-opportunity employer. Our company values diversity and believes diverse teams make innovation possible. We encourage all qualified applicants from any race, color, religion, sex, gender identity, sexual orientation, national origin, disability status, protected veteran status, or other characteristics to apply.</p><p></p><p><i><br>
We are unable to offer visa sponsorship or work authorization transfers for this position. Applicants must have the legal right to work in the United States without the need for employer sponsorship</i></p><b><br>
The pay range for this role is:</b><br>
175,000 - 185,000 USD per year(Remote (United States))</div>

Senior Manager of Data Engineering

Hackensack Meridian Health

<div>Overview:
<div>
Our team members are the heart of what makes us better. At Hackensack Meridian Health we help our patients live better, healthier lives &mdash; and we help one another to succeed. With a culture rooted in connection and collaboration, our employees are team members. Here, competitive benefits are just the beginning. It&rsquo;s also about how we support one another and how we show up for our community. Together, we keep getting better - advancing our mission to transform healthcare and serve as a leader of positive change.</div><div></div><div><br>
At Hackensack Meridian Health at Home, we recognize our full- and part-time benefit eligible team members by offering a Total Rewards package including comprehensive Health Benefits, generous Paid Time Off, Travel Reimbursement as well as an investment in your future with a 401(k) match and Tuition Reimbursement. Per Diem team members are eligible to participate in Travel Reimbursement and may be eligible to receive a 401(k) match. At www.TeamHMH.com, you&rsquo;ll find the information, resources and tools that will help you to be successful at HMH. From great benefits and innovative wellness programs, to robust learning and development opportunities, we continue to cultivate an exceptional work environment where you can do the kind of work that leads to fulfillment and professional growth.</div>
Qualifications:<div><br>
Education, Knowledge, Skills and Abilities Required:</div><ul><li>
Bachelor's degree in Nursing.</li><li>
Minimum of 5 years of experience in health care.</li><li>
Excellent clinical informatics as well as written and oral communication skills with ability to present quality outcomes at various leadership level meetings within the organization.</li><li>
Ability to work on multiple projects concurrently in a fast paced, timeline driven environment.</li><li>
Strong planning and organizational skills with the ability to work independently, multi-task, and prioritize responsibilities.</li><li>
Excellent written and verbal communication skills.</li><li>
Proficient computer skills that include but are not limited to Microsoft Office and/or Google Suite platforms.</li></ul><div><br>
Education, Knowledge, Skills and Abilities Preferred:</div><ul><li>
Master's degree (MSN, MBA, MPH).</li><li>
Experience in Clinical Informatics and Clinical Transformation work.</li><li>
Experience in Home Health/Hospice.</li><li>
Performance improvement experience.</li><li>
Experience with leading quality and outcomes work.</li><li>
Understanding of clinical regulatory standards.</li></ul><div><br>
Licenses and Certifications Required:</div><ul><li>
NJ State Professional Registered Nurse License.</li></ul>
Responsibilities:
<div>
The Manager of Quality and Data Analytics is a strategic leader responsible for driving the quality and performance improvement initiatives across all home health and hospice operations. This role involves the comprehensive management of the Quality Assurance and Performance Improvement (QAPI) program, ensuring regulatory compliance, and leveraging data to enhance clinical outcomes and patient satisfaction. The manager will oversee all data collection and analysis related to quality measures, infection control, and value-based purchasing, translating complex data into actionable strategies. By collaborating with operational leaders and clinical teams, this individual will optimize clinical information systems, guide survey readiness, and ensure the highest standards of patient care and documentation integrity.</div><br>
<div></div><ul><li>
QAPI Program Management and Oversight: Directs and supports all aspects of the agency's QAPI program, including the annual update of materials, organization of binders for survey presentation, and leadership of quarterly meetings. Guides teams in the development, implementation, and presentation of Performance Improvement (PI) projects, ensuring data is analyzed and presented effectively to drive meaningful change.</li><li>
Data Analytics and Strategic Reporting: Manages the collection, analysis, and maintenance of all quality and patient satisfaction data from sources such as CMS and SHP. Develops and maintains spreadsheets and dashboards to track key performance indicators for home health (including Home Health Value-Based Purchasing) and hospice. Provides data-driven insights and prepares reports for leadership and board meetings to inform strategic decisions.</li><li>
Regulatory Compliance and Survey Readiness: Ensures the agency is in a constant state of readiness for Department of Health and Joint Commission surveys. This includes maintaining and updating survey preparation resource guides, developing survey-ready reports within the electronic health record, and assisting surveyors by navigating clinical charts and providing necessary documentation.</li><li>
Infection Prevention and Control Leadership: As the credentialed Infection Preventionist, this manager monitors and analyzes monthly infection data across all operations. They are responsible for organizing and conducting quarterly Infection Prevention and Control meetings and collaborating with leadership to devise and implement new strategies to mitigate infection risks.</li><li>
Health Information System Optimization: Collaborates with Epic analysts and operational leaders to optimize the electronic health record platform. Focuses on enhancing clinician documentation efficiency while ensuring full compliance with all regulatory requirements, thereby improving data integrity and workflow.</li><li>
Strategic Collaboration on Quality Initiatives: Works closely with operational leaders and specialized clinical staff, such as the Virtual Wound Nurse Coordinator, to brainstorm, develop, and implement innovative strategies aimed at improving quality measures and patient satisfaction scores. This includes collecting and analyzing data for special projects and presenting findings to promote best practices.</li><li>
Collaborative Systems Optimization: Partners with operational leaders and Epic analysts to optimize the Epic platform. This collaboration focuses on enhancing clinician documentation efficiency while ensuring full compliance with all regulatory requirements, and exploring new technologies to improve the educational experience.</li><li>
Other duties and/or projects as assigned.</li><li>
Adheres to HMH Organizational competencies and standards of behavior.</li><li>
Lifts a minimum of 10 pounds, pushes and pulls a minimum of 10 pounds and stands a minimum of 120 minutes a day.</li></ul>
Starting Minimum Rate: Minimum rate of $111,924.80 Annually Job Posting Disclosure: HMH is committed to pay equity and transparency for our team members. The posted rate of pay in this job posting is a reasonable good faith estimate of the minimum base pay for this role at the time of posting in accordance with the New Jersey Pay Transparency Act and does not reflect the full value of our market-competitive total rewards package. The starting rate of pay is provided for informational purposes only and is not a guarantee of a specific offer. Posted hourly rates may be stated as an annual salary in the offer and posted annual salaries may be stated as an hourly rate in the offer, depending on the level and nature of the job duties and credentials of the candidate. The base compensation determined at the time of the offer may be different than the posted rate of pay based on a number of non-discriminatory factors, including but not limited to: Labor Market Data: Compensation is benchmarked against market data to ensure competitiveness. Experience: Years of relevant work experience. Education and Certifications: Level of education attained, including specialized certifications, credentials, completed apprenticeship programs or advanced training. Skills: Demonstrated proficiency in relevant skills and competencies. Geographic Location: Cost of living and market rates for the specific location. Internal Equity: Compensation is determined in a manner consistent with compensation ranges for similar roles within the organization. Budget and Grant Funding: Departmental budgets and any grant funding associated with the job position may impact the pay that can be offered. Some jobs may also be eligible for performance-based incentives, bonuses, or commissions not reflected in the starting rate. Certain positions may also be eligible for shift differentials for work performed on evening, night, or weekend shifts. In addition to our compensation for full-time and part-time (20+ hours/week) job positions, HMH offers a comprehensive benefits package, including health, dental, vision, paid leave, tuition reimbursement, and retirement benefits.</div>

Manager of Qual & Data Analytics, Homecare

Lumin Education

<p><b>Job Title: Data Manager </b></p><p><b>Reports To: Executive Director </b></p><p><b>School/Program: Lumin Education</b></p><p><b>Status: Part-Time, Hourly, 260-day year</b></p><p><b>Hours: Up to 25 hours per week or an average of 80 hours per month</b></p><p><b>Submission Deadline of April 23, 2026</b></p><p><b>Summary:</b></p><p>The Data Manager role contributes to our mission of transforming education by creating learning environments that inspire and empower children from all cultural and economic backgrounds. We strive to be a compassionate, dynamic learning community that demonstrates integrity, respect, and sustainability, guided by Montessori principles. The Data Manager is responsible for managing data from multiple sources, ensuring data consistency, and maintaining data integrity. The Data Manager organizes, accumulates, and analyzes data in a systematic and efficient manner to develop consolidated reports for internal and external use. The Data Manager collaborates with School Directors and Supervisors to ensure they know the data collection dates and to support them with processes, training and information for consistent and accurate input and output of data. The Data Manager will oversee the upkeep of the Data Warehouse.</p><p><b>Responsibilities:</b></p><ul><li>&middot; Gain an understanding of Lumin&rsquo;s data collection systems and assist in developing processes, as needed, to ensure the integrity of the data &ndash; from data input to data extraction to data reporting.</li><li>&middot; Apply an understanding of Montessori data collection methods and child assessment practices to guide data entry, reporting, and quality assurance processes in alignment with Lumin&rsquo;s philosophy.</li><li>&middot; Develop and document an easily replicable process for downloading, manipulating and consolidating data into required reporting for external and internal sources.</li><li>&middot; Collect, assimilate and provide reports on the following data:</li></ul><p>o Student demographic and assessment data at BOY and EOY</p><p>o Student intervention data at EOY from Interventionist and Montessori Mentor</p><p>o Parent Volunteer information at EOY from Development Associate (for LPCS) and BLCS Office Coordinator</p><p>o Snapshot data for the Internal Stats Sheet at BOY</p><p>o Data for Data Warehouse annually at EOY</p><ul><li>&middot; Maintain calendar of data collection schedule and, when appropriate, request data from stakeholders.</li><li>&middot; Continuously monitor data sources to identify areas of inconsistent or missing data and work with supervisors to train staff and clean data as needed.</li><li>&middot; Work with Chief Development Officer, School Directors, and Montessori Mentor annually to confirm or revise academic measurements for external reporting.</li><li>&middot; Assess data requirements for ROI and strategic alignment in consultation with the Executive Director. Identify low-value tasks, determine which can be automated, and consolidate entry requirements wherever possible.</li><li>&middot; Support Directors and Supervisors as they receive and respond to data requests throughout the year.</li><li>&middot; Train/support stakeholders in creating or downloading reports &ndash; for their own data needs as well as for the external and internal reports the Data Manager uses.</li><li>&middot; Work with software vendors, as needed, to enhance our ability to create reports, to request them to create reports, and to understand how to interpret the data.</li><li>&middot; Work closely with the Data Fellow to support timely and complete data transfer into the Data Warehouse.</li></ul><p><b>Qualifications:</b></p><ul><li>Strong analytical and problem-solving skills with the ability to manipulate and interpret data sets</li><li>&middot; Strong communication skills</li><li>&middot; Ability to impart the value and necessity of clean, accurate data to stakeholders</li><li>Excellent proficiency with Microsoft Excel</li><li>Solid comprehension of modern database technologies</li><li>Bachelor&rsquo;s degree in relevant field</li></ul><p>Experience as a data manager or data analyst for 3+ years</p><p>Pay: $35.00 - $40.00 per hour</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Data Manager or Data Analyst : 3 years (Preferred)</li></ul><p>Work Location: Hybrid remote in Dallas, TX 75223</p>

Data Manager

Moore JFC Group

<p><b>Job Summary</b></p><p>Moore JFC Group is seeking a Manager / Senior Manager to support the delivery of a large-scale Data Classification, Privacy, and Protection Program (DCPP). This role will lead and contribute to technical and techno-functional work across data discovery, classification, governance, and privacy implementation, with a strong focus on Microsoft Purview and MIP alignment.</p><p>The position is delivery-focused and requires translating regulatory and governance requirements into practical technical solutions, implementation-ready documentation, and effective execution across business and IT stakeholders.</p><p><b>Key Responsibilities</b></p><ul><li>Lead technical workstreams across data discovery, inventory, and data flow mapping</li><li>Drive data classification, labelling frameworks, and privacy control implementation</li><li>Align Microsoft Purview, MIP, and related tools with program requirements</li><li>Translate governance and privacy requirements into actionable procedures and templates</li><li>Support risk management, KPI reporting, audit readiness, and remediation activities</li><li>Facilitate stakeholder workshops and contribute to governance and reporting packs</li><li>Review team deliverables and ensure quality, consistency, and documentation standards</li><li>Support knowledge transfer and operationalization of controls</li></ul><p><b>Candidate Profile</b></p><ul><li><b>Manager:</b> 7&ndash;10 years | <b>Senior Manager:</b> 10&ndash;14+ years of relevant experience</li><li>Strong experience in data privacy, governance, classification, and protection</li><li>Hands-on exposure to Microsoft Purview, MIP, and M365 compliance tools preferred</li><li>Experience in data discovery, data flows, privacy controls, and risk frameworks</li><li>Proven consulting, stakeholder management, and workshop facilitation experience</li></ul><p><b>Qualifications &amp; Skills</b></p><ul><li>Bachelor&rsquo;s degree in IT, Computer Science, Cybersecurity, or related field</li><li>Relevant certifications (Microsoft Security/Purview, ISO 27001/27701, privacy) preferred</li><li>Strong techno-functional, documentation, and reporting skills</li><li>Ability to translate policies into implementable technical solutions</li><li>High attention to detail, ownership, and delivery focus</li></ul><p><b>Preferred Experience</b></p><ul><li>GCC consulting or large enterprise program delivery</li><li>Exposure to regulated sectors (government, real estate, infrastructure)</li><li>Experience with audit readiness and compliance frameworks</li></ul><p>Job Type: Full-time</p><p>Pay: QAR10,000.00 - QAR30,000.00 per month</p><p>Work Location: In person</p>

Manager / Senior Manager – Data Classification and Data Privacy

Brother USA

<div>Role Overview:
<p>
The <b>Manager, Data Engineering</b> is responsible for leading the development and optimization of the organization's data infrastructure to enable advanced analytics and data-driven decision-making. This role oversees the design, integration, and governance of data pipelines and platforms, ensuring they are scalable, reliable, and aligned with business objectives. Collaborating with members of the Analytics &amp; Insights (A&amp;I) team, IT, and other stakeholders, this role ensures that data engineering practices drive measurable business outcomes. By fostering a high-performing team and advancing organizational analytics capabilities, this role plays a key part in transforming data into actionable insights and contributes to the team&rsquo;s mission to transform the decision making culture at brother through data &amp; science. The Manager, Data Engineering, will be responsible for establishing robust and secure data infrastructure, delivering high quality, accessible and reliable data for analytics and decision-making, and enhancing the performance of the data engineering team all while advancing the organizational maturity of the data engineering team and practices.</p>
Duties &amp; Responsibilities:
<p>
Data Engineering</p><ul><li><div><ul><li>
Lead the Development of Data Infrastructure: Oversee the design and implementation of scalable, high-performing data pipelines and platforms, ensuring seamless integration of data from various sources</li><li>
Establish Governance Standards: Implement data governance policies, ensuring compliance, security, and data quality standards are consistently met</li><li>
Drive Innovation in Analytics Enablement: Partner with Data Scientists to design machine learning pipelines, enabling advanced analytics through optimized data preparation and feature engineering workflows</li><li>
Design and Oversee Data Integration Processes: Direct the integration of data from diverse systems using industry-leading tools such as Databricks, Alteryx, and Azure, ensuring data harmonization for analytical use</li><li>
Optimize Data Performance: Guide the optimization of data structures and workflows to enhance query performance, processing efficiency, and scalability</li><li>
Advance Organizational Capabilities: Stay abreast of emerging technologies, evaluate their relevance, and guide their adoption to improve data engineering practices and analytics outcomes</li><li>
Champion Data Quality: Oversee the implementation of robust data validation and monitoring processes to ensure the accuracy, consistency, and reliability of data assets</li><li>
Support Organizational Strategy: Contribute to the design and implementation of analytics practices, data engineering frameworks, and management methodologies that support the organization&rsquo;s strategic objectives</li><li>
Establish Best Practices: Guide the standardization and adoption of best practices in data engineering, analytics methodologies, project execution, and governance across the team and organization.</li></ul></div></li></ul><p></p><p><br>
Team Management and Operations</p><ul><li><div><ul><li>
Team Leadership and Development: Build and manage a high performing team by providing mentorship, coaching, and development opportunities to enhance technical and professional skills. Foster a collaborative, growth-oriented environment and ensure the team has the necessary resources to excel</li><li>
Performance Management: Set clear objectives, manage workloads, provide regular feedback, and conduct annual performance reviews. Address performance challenges in partnership with HR to build engagement and accountability</li><li>
Competency Development: Support the development of technical and analytical skills within the team, identifying areas for growth and ensuring continuous learning opportunities</li><li>
Coaching and Mentoring: Provide regular coaching to team members to guide their professional development and improve their expertise in data engineering and analytics methodologies</li><li>
Manage Operations: Oversee daily team operations, ensuring projects are completed on time and aligned with organizational goals and priorities</li><li>
Communication: Ensure effective communication within the team and with other departments, sharing relevant project updates, challenges, and outcomes to maintain alignment</li><li>
Team Branding: Advocate for and communicate the team&rsquo;s achievements to highlight their value in driving business outcomes and position them as trusted business partners and subject matter experts</li></ul></div></li></ul><p></p><p><br>
Stakeholder Engagement and Continuous Improvement</p><ul><li><div><ul><li>
Drive Continuous Improvement: Foster a culture of innovation by identifying and automating inefficient processes, optimizing workflows, and applying analytics to improve operations</li><li>
Stakeholder Engagement: Act as a liaison between the team, Analytics &amp; Insights, IT, and business stakeholders to align technical efforts with organizational priorities and drive data-driven transformation goals</li><li>
Collaboration: Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solution</li></ul></div></li></ul>
Experience &amp; Qualifications:
<p>
Education</p><ul><li><div><ul><li>
Bachelor&rsquo;s degree in computer science, Data Engineering, IT, or related field</li><li>
Master&rsquo;s Degree or MBA - <b><i>Preferred</i></b></li></ul></div></li></ul><p>
Experience</p><ul><li><div><ul><li>
8+ years of data engineering and analytics experience</li><li>
3+ years managing teams and complex data engineering projects</li></ul></div></li></ul><p>
Software/Technical Skills</p><ul><li><div><ul><li>
Experience with Modern data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks)</li><li>
Strong understanding of data governance, security, and compliance best practices</li><li>
Experience with designing data models, warehouses, and pipelines to support advanced analytics</li><li>
Experience with visualization tools (Tableau, Power BI)</li><li>
Familiarity with machine learning frameworks and concepts - <b><i>Preferred</i></b></li></ul></div></li></ul><p>
Other Skills/Knowledge/Abilities</p><ul><li><div><ul><li>
Strong business acumen and ability to align technical efforts with strategic goals</li><li>
Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment</li><li>
Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management</li><li>
Ability to multi-task and manage simultaneous projects</li><li>
Strong analytical and problem-solving skills, with a focus on delivering actionable solutions</li><li>
Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively</li></ul></div></li></ul>
Additional Details for This Role:
<p>
This role will be a hybrid role. Subject to business needs, employees may work remotely up to two days per week. Assigned office days will be determined by your manager. #LI-Hybrid</p><p></p><p><br>
Base Salary</p><ul><li><div><ul><li>
The targeted base salary range for this position is <b>$130,000 - $160,000 </b>per year.</li><li>
Base salary is determined by the education, experience, knowledge, skills, and abilities of the successful candidate, as well as factors such as internal equity, cost of labor in the hiring location, and alignment with market data.</li></ul></div></li></ul><p></p><p><br>
Additional Compensation</p><ul><li><div><ul><li>
This position is eligible for a <b>15 %</b> bonus at 100% of target, with the opportunity to achieve above 100% dependent on company performance and in alignment with company bonus plans.</li><li>
Bonus awards are discretionary and contingent upon individual performance as well as Brother achieving its corporate objectives, in accordance with the applicable bonus plan in effect.</li></ul></div></li></ul></div>

Manager, Data Engineering

OneMain Financial

<div><p><b>Manager, Data Science</b></p><p><b>
Location: Charlotte, NC (Hybrid)</b></p><p></p><p>
We are seeking a Manager to join our Data Science team in Charlotte, NC. This is an exciting opportunity to develop and manage an integrative set of models across a diverse portfolio. These models include but are not limited to risk models, direct mail response models, portfolio risk models, line management models, collection models, and others.</p><p></p><p>
Working with various partners, the role will also have responsibilities for model monitoring, customer segmentation, competitive analysis, and input into strategy. A successful candidate will expand competencies and grow business and industry acumen, as well as demonstrate the ability to work on complex processes or projects across the end-to-end project cycle. They will also gain knowledge to suggest new answers to old questions, develop insights and push the traditional boundaries of the lending industry.</p><p><b><br>
The Role</b></p><ul><li>
Research and develop new modeling techniques that will keep OneMain at the forefront of the industry</li><li>
Work with non-traditional data sources such as information from other industries, tax data, deposit data, demographic data, social media and digital data to improve model performance</li><li>
Lead innovative solutions to gain more value from credit bureau tradeline data</li><li>
Develop creative technical solutions to improve the company&rsquo;s decision making, the customer&rsquo;s experience, and shareholder return</li><li>
Lead a team to conduct statistical analysis and develop profit-driven decision framework and risk strategies within risk appetite with full credit cycle view to drive healthy growth</li><li>
Partner with other leaders to define business priorities, align talent and resources and communicate progress to executive management</li><li>
Understand the data environment to appropriately prioritize and set expectations for key reporting, modeling, and analytical priorities</li><li>
Leverage traditional regression models and machine learning algorithms to understand the key drivers and estimate customer behaviors</li><li>
Effectively prioritize competing initiatives across direct reports; translate strategic priorities into individual/team initiatives and manage expectations</li></ul><p></p><p><b>
Qualifications</b></p><ul><li>
Master&rsquo;s Degree in a quantitative discipline (Engineering, Statistics, Economics, Business Management or Computer Science)</li><li>
4+ years of model development experience in a large institution preferred; PHD degrees may offset experience.</li><li>
Knowledge of modeling techniques and methods such as decision trees, neural networks, XGBoost, and complex regressions preferred</li><li>
Superior communication skills with the comfort to interface with all levels of management</li><li>
Proven experience working with teams of diverse individuals focused on several disparate projects simultaneously</li><li>
Advanced use of computer languages and modeling packages such as R, SAS, and Python (Tensorflow, Pyspark)</li><li>
Innovative and capable of developing creative solutions to complex, data-driven problems</li></ul><p></p><p><b>
Who We Are</b></p><p>
OneMain Financial (NYSE: OMF) is the leader in offering nonprime customers responsible access to credit and is dedicated to improving the financial well-being of hardworking Americans. Since 1912, we&rsquo;ve looked beyond credit scores to help people get the money they need today and reach their goals for tomorrow. Our growing suite of personal loans, credit cards and other products help people borrow better and work toward a brighter future.</p><p></p><p>
Driven collaborators and innovators, our team thrives on transformative digital thinking, customer-first energy and flexible work arrangements that grow lives, careers and our company. At every level, we&rsquo;re committed to an inclusive culture, career development and impacting the communities where we live and work. Getting people to a better place has made us a better company for over a century. There&rsquo;s never been a better time to shine with OneMain.</p><p></p><p>
Because team members at their best means OneMain at our best, we provide opportunities and benefits that make their health and careers a priority. That&rsquo;s why we&rsquo;ve packed our comprehensive benefits package for full- and some part-timers with:</p><ul><li><p>
Health and wellbeing options including medical, prescription, dental, vision, hearing, accident, hospital indemnity, and life insurances</p></li><li><p>
Up to 4% matching 401(k)</p></li><li><p>
Employee Stock Purchase Plan (10% share discount)</p></li><li><p>
Tuition reimbursement</p></li><li><p>
Paid time off (15 days&rsquo; vacation per year, plus 2 personal days, prorated based on start date)</p></li><li><p>
Paid sick leave as determined by state or local ordinance, prorated based on start date</p></li><li><p>
Paid holidays (7 days per year, based on start date)</p></li><li><p>
Paid volunteer time (3 days per year, prorated based on start date)</p></li></ul><p></p><p><i>
OneMain Holdings, Inc. is an Equal Employment Opportunity (EEO) employer. Qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship status, color, creed, culture, disability, ethnicity, gender, gender identity or expression, genetic information or history, marital status, military status, national origin, nationality, pregnancy, race, religion, sex, sexual orientation, socioeconomic status, transgender or on any other basis protected by law.</i></p></div>

Manager, Data Science

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