senior data engineer

associate applied data scientist Jobs in Atlanta

associate applied data scientist

associate data analyst

associate data scientist

associate data scientist, marketing Jobs in Atlanta

associate data scientist, marketing

senior data scientist

The Home Depot

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist

PrizePicks

<div><div>At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?</div>
The PrizePicks Analytics Team is responsible for building and maintaining analytical tools and products, to support the PrizePicks business across all departments. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development &amp; causal inference, to enable better &amp; more rapid decision making.
<h1 class="jobSectionHeader">
What you'll do:</h1>
<ul><li>Lead a team of data scientists, covering topics across retention and acquisition marketing</li>
<li>Oversee the development &amp; maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution</li>
<li>Manage projects centered around marketing data analysis, including leveraging causal inference frameworks, to assess impact from efforts and drive outcomes</li>
<li>Integrate LLMs into data &amp; operations workflows, to increase throughput &amp; scale across domains</li>
<li>Mentor junior team members, enhancing analytical rigor throughout the PrizePicks Analytics Team</li>
<li>Effectively manage projects, ensuring deadlines and objectives are met, and business impact is made</li>
<li>Collaborate with senior leadership, to align marketing data science effort with overall company &amp; marketing goals</li>
</ul><h1 class="jobSectionHeader">What you have:</h1>
<ul><li>7+ years of experience in data science &amp; analytics</li>
<li>5+ years of experience in a marketing, customer, or revenue data-related role</li>
<li>3+ years of experience managing or mentoring data scientists, analysts, or engineers</li>
<li>Bachelor's or master's degree in data science, econometrics, statistics, math, computer science, or a related field. Advanced degree preferred</li>
<li>Proven experience in building and implementing production-grade machine learning models in an operations support capacity</li>
<li>Proven experience leveraging causal inference frameworks (e.g. difference-in-differences, regression discontinuity, synthetic controls) to assess impact and drive business outcomes 
</li>
<li>Exceptional communicator, with experience presenting to senior leadership</li>
<li>Ability to influence cross-functional partners (Marketing, Finance, Product)</li>
<li>Comfortable balancing hands-on work with team leadership</li>
<li>Technical Skills
<ul><li>Strong statistical proficiency</li>
<li>Python for statistical computing, model development, and data visualization</li>
<li>Advanced SQL</li>
</ul></li></ul><h1 class="jobSectionHeader">Where you'll live:</h1>
<ul><li>While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote</li>
</ul><h1 class="jobSectionHeader">Working at PrizePicks:</h1>

The typical salary range for this position is $180,000 to $210,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.

This application period will remain open for 30 days. We're committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 5/11/2026

First Extension: 6/11/2026<div><h1 class="jobSectionHeader"> 
Benefits you'll receive:</h1>

In addition to your great compensation package, full-time employees will be eligible for the following perks:
<ul>
<li>Company-subsidized medical, dental, &amp; vision plans</li>
<li>401(k) plan with company match</li>
<li>Annual bonus</li>
<li>Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)</li>
<li>Generous paid leave programs, including 16-week paid parental leave and disability benefits</li>
<li>Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked</li>
<li>Company-wide in-person events and team outings</li>
<li>Lifestyle enhancement program</li>
<li>Company equipment provided (Windows &amp; Mac options)</li>
<li>Annual performance reviews with opportunities for growth and career development</li>
</ul>
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.</div></div>

Senior Data Science Manager - Marketing Science

Position Purpose: The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. Key Responsibilities: 70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation 10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings Direct Manager/Direct Reports: This position reports to manager or above This position has 0 direct reports Travel Requirements: No travel required. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience 3+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Experience in a modern scripting language (preferably Python) Experience running queries against data (preferably with Google BigQuery or SQL) Experience in predictive modeling, data mining and data analysis Experience with data visualization software (preferably Tableau) Experience utilizing statistical techniques to identify key insights that help solve business problems Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Basic knowledge or exposure to predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 0 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Customer Focus: Building strong customer relationships and delivering customer-centric solutions Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Associate Data Scientist, Marketing

NAVA TECH LLC

Launch Your Career in Data Science. Are you passionate about data, analytics, and artificial intelligence but haven't yet had the opportunity to work as a Data Scientist? We are looking for ambitious technical professionals with a strong foundation in programming, problem-solving, and analytical thinking who are ready to transition into a Data Science career. Whether your background is in Software Development, Data Analytics, AI Engineering, Quality Assurance, Business Intelligence, or another technical field, this opportunity is designed to help you develop the skills and real-world experience needed to become a successful Data Scientist. Join our growing consulting practice and gain hands-on experience working on enterprise-level projects for Fortune 1000 organizations across industries such as Finance, Healthcare, Retail, Telecommunications, and Technology.About the RoleThis role is ideal for candidates who:<ul><li>Have a strong technical foundation</li><li>Know how to write code and solve problems</li><li>Have experience working in IT, software development, analytics, or related fields</li><li>Want to transition into Data Science</li><li>Are eager to learn Machine Learning, Artificial Intelligence, Big Data, and Cloud Technologies</li><li>Are you looking for a long-term career path with significant growth potential</li></ul>ResponsibilitiesThrough hands-on project experience and mentorship, you'll gain exposure to:<ul><li>Data Science Methodologies</li><li>Machine Learning</li><li>Predictive Analytics</li><li>Generative AI</li><li>Data Engineering Concepts</li><li>Cloud Platforms (AWS &amp; Azure)</li><li>Big Data Technologies</li><li>Enterprise Data Solutions</li><li>Advanced SQL and Python Development</li></ul>QualificationsMinimum Qualifications<ul><li>Master&rsquo;s degree in computer science, Data Science, Information Systems, Engineering, Mathematics, Statistics, or a related quantitative field</li><li>OR bachelor&rsquo;s degree with at least 2 years of professional technical experience</li></ul>Required Skills<ul><li>Experience coding in Python</li><li>Strong SQL skills</li><li>Understanding of object-oriented programming concepts</li><li>Strong analytical and problem-solving abilities</li><li>Excellent communication skills</li><li>Ability to learn new technologies quickly</li></ul>Preferred Skills<ul><li>Experience with any of the following is a plus:</li><li>Data Analytics</li><li>Software Development</li><li>AI Engineering</li><li>Machine Learning</li><li>AWS</li><li>Azure</li><li>Databricks</li><li>PySpark</li><li>GitLab</li><li>Data Warehousing</li><li>Cloud Technologies</li><li>Statistical Analysis</li></ul>Pay: $35.00 - $42.00 per hourBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Relocation assistance</li></ul>Work Location: In person

Jr Data Scientist

Siemens

<div>Senior Corporate Investigator
Here at Siemens, we take pride in enabling sustainable progress through technology. We do this by empowering customers by combining the real and digital worlds. We improve how we live, work, and move today and for the next generation! Our global, diverse team would be happy to challenge you to grow in new ways.
Transform the everyday with us!
We are seeking a Senior Corporate Investigator who will report to the Head of Investigations for the Americas and work collaboratively with members of the global Investigations and Regulatory Team. The Senior Corporate Investigator plays a pivotal role in protecting Siemens&rsquo; integrity and global reputation.
This position is remote and requires working regular business hours in the Eastern Time Zone.
The Senior Corporate Investigator is responsible for conducting fair, independent, and well-documented investigations into potential violations of the Siemens Business Conduct Guidelines, company policies, and applicable law. The ideal candidate will bring experience in witness interviewing, investigation planning, data analysis, report drafting, and using AI tools to enhance investigative processes. This role requires sound judgment, discretion, and professionalism, as well as regular collaboration with colleagues across Siemens&rsquo; global compliance organization, internal departments, and business units. Candidates with prior experience in federal law enforcement, white-collar investigations, and public corruption, fraud, or other complex investigations are encouraged to apply.
You&rsquo;ll make an impact by having the skills to:<ul><li>
Plan, perform, and manage complex, sensitive, and multi-jurisdictional investigations with the highest level of efficiency, quality, and professionalism.</li><li>
Develop investigative strategies, gather and analyze evidence, assess credibility, and prepare well-supported investigative reports.</li><li>
Conduct investigative interviews professionally and effectively, including with senior leadership and cross-functional stakeholders.</li><li>
Analyze investigative findings to identify policy, legal, regulatory, and control risks/implications.</li><li>
Prepare clear, concise, and thorough investigative reports for senior management and Legal/Compliance leadership.</li><li>
Maintain confidentiality and ensure investigations are conducted fairly, consistently, and in accordance with internal policies and applicable laws.</li></ul>
You&rsquo;ll win us over by having the following qualifications:
Basic Qualifications<ul><li>
Bachelor's degree from an accredited college or university.</li><li>
At least 10 years conducting investigations within corporate, legal, compliance, law enforcement, government, or internal audit environments.</li><li>
Demonstrated ability to lead end-to-end investigations, including planning, evidence gathering, interviewing, analysis, and report writing.</li><li>
Proven ability to manage multiple concurrent investigations and meet deadlines.</li><li>
Professional fluency in English (written and verbal).</li><li>
Authorized to work in the United States without current or future sponsorship.</li></ul> 
Preferred Qualifications<ul><li>
Excellent written, verbal, and collaboration skills.</li><li>
Impeccable integrity, sound judgment, and discretion.</li><li>
Excellent organizational and time-management skills.</li><li>
Demonstrated ability to work effectively with multi-jurisdictional and multi-cultural stakeholders.</li><li>
Strong technology and online research skills, including proficiency with Microsoft Office 365.</li><li>
Experience leveraging AI and advanced technology tools for document review, data analysis, and report drafting.</li><li>
Understanding of retaliation risks, confidentiality obligations, and fair treatment principles.</li><li>
Professional fluency in Spanish.</li></ul>
Why you&rsquo;ll love working at Siemens<ul><li>
Competitive compensation (salary and bonus) based on qualifications.</li><li>
Medical, dental, prescription and vision coverage, first day of employment.</li><li>
Matching 401(k) (immediate employer match).</li><li>
Competitive paid time off plan, paid holidays, and floating holidays.</li><li>
Career development opportunities.</li><li>
Remote work flexibility.</li><li>
Paid parental leave.</li></ul>
About Siemens:
We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.
Siemens Corporation is a U.S. subsidiary of Siemens AG, a leading technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to cleaner and more comfortable transportation as well as advanced healthcare, the company creates technology with purpose adding real value for customers. By combining the real and the digital worlds, Siemens empowers its customers to transform their industries and markets, helping them to transform the everyday for billions of people. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a globally leading medical technology provider shaping the future of healthcare. In fiscal 2023, which ended on September 30, 2023, the Siemens Group USA generated revenue of $19.9 billion and employs approximately 45,000 people serving customers in all 50 states and Puerto Rico.
Our Commitment to Equity and Inclusion in our Diverse Global Workforce
We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. Come bring your authentic self and create a better tomorrow with us.
#LI-JS
#LI-Remote 
$129,520 $222,034 20%</div>

Senior Corporate Investigator

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
We are seeking a Director of Business Data Products &amp; Enablement (BDPE) to lead the development and delivery of scalable, product-based data solutions across Deposits and Lending within Consumer &amp; Small Business Banking (CSBB). 
This role is accountable for defining and executing a product-driven data strategy, transforming fragmented reporting and analytics into standardized, governed, and reusable data products that drive measurable business value. 
The Director will act as a bridge between business and technology, ensuring that data products are aligned to business priorities, built with high quality and governance, and adopted effectively to enable faster, more consistent decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 
1. Manage significant advanced analytics projects which involve broad latitude and judgment regarding the management of assigned projects including scoping, approach design, assignment of tasks, and accountability for deliverables. 
2. Lead a team of Data and Analytics professionals. Provide coaching and guidance to team members, understanding their strengths, weaknesses and goals to support the appropriate opportunities for career development and enhancement. Provide performance evaluations in accordance with Truist guidelines. Work with teammates to establish development plans and provide regular coaching and feedback to members of the team. 
3. Responsible for talent acquisition, coaching and organization of data science professionals possessing highly technical skills, an understanding of business processes, natural curiosity and a drive to excellence in pursuit of business optimization and impact. 
4. Foster communication and partnership across all levels of the organization including engagement with Senior Leadership and C-Suite, Truist Executive Leadership Team. Responsible for stewarding relationships, delivering on promises and building trust with partners while delivering on LOB and company goals. 
5. Pursue business outcomes valued through increased revenue and/or efficiency leveraging data-driven insights powered by advanced analytics in support of enhanced decision-making. Focus on continuous improvement in delivering data science driven insights and outcomes in pursuit of business optimization. 
6. Provides strategic direction in data collection, data wrangling, data mining, advanced analytic concepts, AI &amp; machine learning, self-service enablement and data visualization for the line of business partners. 
7. Drive overall team standards in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers. 
8. Represent the team in various forums, work streams, and Executive reviews. Cultivate relationships with Senior Leaders from the Enterprise Data Office and federated analytics teams to drive efficient data science &amp; predictive analytics delivery against shared objectives. 
9. Exercise sound judgment, risk management, and foster a client centric culture throughout design, development, and deployment practices.
QUALIFICATIONS 
Required Qualifications: 
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
1. Bachelor&rsquo;s degree or equivalent education and related training or experience, and 15 or more years of experience in Banking, Finance, Decision/Data Science, Analytics, Computer Science, Applied Mathematics or Engineering 
2. 10 or more years of progressive data science or analytics management experience with a diverse project focus and demonstrated results. 
3. Must be a people leader, able to manage in a cross-functional and collaborative team environment focused on supporting business partners with enhanced insights. 
4. Demonstrated ability to engage and manage a diverse set of internal business partners, product sets, and projects, connecting insights with execution and business impact. 
5. Innovative and strategic thinker with ability to connect to practical application, providing leadership on target initiatives, with a strong bias to action and focus on quantifiable business impact. 
6. Experience in managing multiple projects with tight deadlines in a collaborative environment, with ability to pivot and align resources to drive maximum impact. 
7. Ability to maintain a high level of competency in statistical and analytical principles, tools, and techniques. Champion application of emerging decision science techniques by supporting teammate training and development and building business partner awareness. 
8. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).
Preferred Qualifications:
1. Experience with modern data platforms (e.g., cloud, Snowflake, BI tools)
2. Prior working experience with data governance frameworks, and risk controls
3. Experience in AI/advanced analytics enablement for Agentic and traditional applications
4. Experience in data, analytics, product management, or BI delivery in Consumer Banking
5. Demonstrated ability to:
 Translate business strategy into executable data solutions
 Lead cross-functional teams and influence senior stakeholders
 Deliver measurable business outcomes through data and analytics
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Director, Business Data Products & Enablement (BDPE) - Deposits & Lending

Position Purpose: Distinguished Engineers are recognized as experts in one or more domains within Home Depot and across the industry. They represent the senior technical experts within the organization and have a strong track record of growing and influencing others. Distinguished Engineers will connect teams to one another in a spirit of collaboration and will champion opportunities to make teams more efficient. As a Distinguished Engineer, you will be responsible helping to shape the go-forward direction of the organization; working with senior leaders, vendors, and partners to influence technology roadmaps and the adoption of new technologies across the enterprise. In addition, you will teach, mentor, and grow other domain experts within the organization. Key Responsibilities: 30% Strategy &amp; Planning: Works with senior leaders to shape the go-forward vision for the organization from a specific domain perspective Works with vendors and partners on the successful strategy, planning, and implementation of critical tooling and platforms Participates in and influences development of technology roadmaps across the enterprise Evaluates new technologies for adoption across the enterprise Drives thought leadership and innovation within the organization 30% Support &amp; Enablement: Fields questions from product, project and support teams Evangelizes successful usage of tooling and technologies with teams Monitors tools and leads conversations to encourage collaboration across product teams Learns, through reading, tutorials, relationships, and videos, new technologies and best practices being used in other organizations 25% Delivery &amp; Execution: Teaches, mentors, grows, and advises other domain experts in the organization (including direct reports, if applicable) Documents, reviews and ensures that all quality and change control standards are met Works with vendors and partners on the successful planning and implementation of critical tooling and platforms Understands and articulates the value creation and business proposition to teams and functional partners Participates in and leads review board sessions to drive consistency across the enterprise 15% People: Acts as a point of escalation for teams facing extremely complex challenges Participates in and leads learning activities within the organization Connects teams facing similar challenges and problems to encourage consistency Presents at and attends conferences and learns how to apply new technologies and concepts Capable of jumping into a variety of teams to resolve issues Provides leadership, mentoring, and coaching to direct reports (if applicable) Conducts annual and mid-year reviews, reviewing individual development plans and providing performance feedback (if applicable) Attracts, retains, develops, and motivates top talent (applicable if incumbent has direct reports) Direct Manager/Direct Reports: This role typically reports to Sr. Director or Vice President and may have a small number of non-manager direct reports with VP approval. Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Must be legally permitted to work in the United States Preferred Qualifications: Executive Technical Leadership: 12+ years of progressive engineering experience, with a proven track record as a Distinguished Engineer, Principal Architect, or Director-level technical leader overseeing large-scale, complex enterprise architectures. Domain Expertise (MarTech, Retail Media, &amp; Loyalty): Deep technical domain expertise in building and scaling high-throughput Marketing Technology stacks, Retail Media Networks (RMNs), and omnichannel loyalty platforms within a multi-billion $ retail or e-commerce ecosystem. AI Strategy &amp; Enablement: Demonstrated experience leading an organization through the adoption, scaling, and governance of AI/ML technologies (including GenAI, predictive personalization, and automated content generation) to drive customer engagement and ad-yield optimization. Advanced People Leadership: Proven success as a people leader managing senior technical talent, with the unique ability to inspire, mentor, and elevate a team of high-performing Senior Principal Engineers Enterprise Architecture &amp; Governance: Expert-level mastery of enterprise architecture frameworks, governance, and industry best practices, ensuring decentralized engineering teams build scalable, resilient, and compliant solutions that align with broader corporate standards. Data Infrastructure &amp; Privacy Integration: Advanced knowledge of Customer Data Platforms (CDPs), data clean rooms, identity resolution, and real-time data streaming pipelines, combined with a strict adherence to modern data privacy regulations and security guardrails. Cloud-Native &amp; Distributed Systems: Extensive hands-on experience designing and operating cloud-native architectures (GCP, Azure, AWS) and microservices capable of supporting millions of daily active users and processing massive datasets. Executive Influence &amp; Strategic Alignment: Exceptional communication skills with a track record of bridging the gap between deeply technical engineering teams and executive business stakeholders (such as Product, Marketing, and Retail Operations) to turn business vision into technical reality. Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs (applicable if incumbent has direct reports) Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals (applicable if incumbent has direct reports) Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Courage: Stepping up to address difficult issues, saying what needs to be said Cultivates Innovation: Creating new and better ways for the organization to be successful Decision Quality: Making good and timely decisions that keep the organization moving forward Develops Talent: Developing people to meet both their career goals and the organization's goals (applicable if incumbent has direct reports) Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives (applicable if incumbent has direct reports) Drives Results: Consistently achieving results, even under tough circumstances Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Global Perspective: Taking a broad view when approaching issues; using a global lens Manages Complexity: Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies Tech Savvy: Anticipating and adopting innovations in business-building digital and technology applications Apply End Date: 07/29/2026

Distinguished Engineer - Orange Apron Media

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