director of analytics

Hack The Box

<div>✨The core mission of the Director of Data &amp; Analytics:
Hack The Box is on a mission to redefine cybersecurity readiness for the AI era &mdash; and data is the engine room of that mission. As Director of Data &amp; Analytics, you will own the execution of HTB's data platform and analytics strategy: a GCP-native ecosystem (BigQuery, Pub/Sub, Dataflow, Bigtable but also some legacy in Aiven - kafka / Clickhouse - Snowflake) serving analytics, ML, and AI workloads across every product line, from Academy and Labs to Enterprise and AI Range.
In your first 6 months, you'll take operational command of a 10&ndash;12 person team across data engineering, analytics engineering, and BI, drive our Snowflake-to-BigQuery consolidation to the finish line, and establish delivery rhythms, SLOs, and quality gates that make the platform boringly reliable. Over the next year, you'll scale the function: company-wide data governance and data contracts, self-serve analytics adopted by every department, and a data platform that powers HTB's AI products &mdash; not just its dashboards.
Location &amp; Work Mode:<ul><li>
Athens, Attica, Greece</li><li>
Hybrid (2 days in the office, 3 days remote). Those based within 55 km of our Athens office will follow a hybrid work model. For candidates located beyond that radius, a fully remote arrangement is available.</li></ul>
✈️ Relocation
<ul><li>We offer a 10% relocation bonus on the annual salary to support your move.</li><li>
In addition, you would benefit from a 50% tax reduction on your income as part of the relocation.</li><li>
We'll support you with accommodation during the first few weeks</li></ul>
The fellowship you&rsquo;ll be joining:
You'll lead a guild of 10&ndash;12 data professionals spanning three crafts:<ul><li>
Data Engineers building and operating streaming and batch pipelines (Pub/Sub, Dataflow, Kafka, Airflow) and the BigQuery/Bigtable platform</li><li>
Analytics Engineers owning the layered modeling of our warehouse and the semantic foundations of company metrics</li><li>
BI &amp; Analytics specialists turning platform data into decisions for Product, Growth, Finance, and the executive team</li></ul>
You will report directly to the VP of Data, Analytics &amp; AI, and work side by side with the AI/ML infrastructure function (self-hosted GPU inference, LLM platform) within the same department.
Your key stakeholders outside the department: Software Development, Infrastructure Product Management, Finance, Growth/Marketing, and the executive team, who rely on your team's numbers to steer the company.<ul><li>️ Technology tools &amp; weapons you&rsquo;ll be using:</li></ul><ul><li>
Google Cloud Platform: BigQuery, Pub/Sub, Dataflow (Apache Beam), Bigtable, Vertex AI Feature Store</li><li>
Apache Flink/Spark</li><li>
Streaming &amp; messaging: Kafka (Aiven), Pub/Sub with Avro schemas and schema registry (Karapace)</li><li>
Orchestration &amp; transformation: Airflow, layered BigQuery modeling, Python</li><li>
Analytics &amp; BI: modern BI tooling(Looker/Tableau), product analytics (Amplitude), experimentation platforms.</li><li>
Governance: data contracts, CI/CD quality gates</li></ul>
Interesting resources you should check:<ul><li>
Humans of HTB #8: Asterios's journey into Data Engineering</li></ul>
The adventures that await you after becoming Director of Data &amp; Analytics at Hack The Box:<ul><li>
Lead and grow a 10 person team of data engineers, analytics engineers, and BI specialists &mdash; hiring, coaching, and developing the next generation of leads within the team</li><li>
Own the delivery roadmap of the data platform: prioritize across stakeholder demands, set quarterly OKRs, and keep commitments visible and honest</li><li>
Drive the consolidation onto our GCP-native architecture (BigQuery, Pub/Sub, Dataflow, Bigtable), completing the migration off legacy warehouses and CDC pipelines</li><li>
Operationalize data governance company-wide: schema contracts, compatibility tiers, CI/CD gates, and documented business semantics across services</li><li>
Establish engineering discipline: SLOs for data freshness and pipeline reliability, cost observability (FinOps for BigQuery), incident response, and documentation standards</li><li>
Champion self-serve analytics, defining the company's metrics layer and raising data literacy so stakeholders answer their own questions &mdash; and trust the answers</li><li>
Partner with the AI/ML function to ensure the platform feeds feature stores, model training, and AI product telemetry as first-class workloads</li><li>
Represent the data function to the executive team: translate platform investment into business outcomes, and business strategy into platform priorities</li></ul>
Skills, knowledge, and experience points required to unlock the role of Director of Data &amp; Analytics at Hack The Box:<ul><li>
8&ndash;10+ years in data engineering/analytics, including 4+ years managing data teams (managers and/or senior ICs) of 8 or more people in a product or SaaS company</li><li>
Proven delivery of a modern cloud data platform &mdash; ideally GCP (BigQuery, Pub/Sub, Dataflow); strong experience with another major cloud warehouse stack also counts.</li><li>
Hands-on fluency with streaming architectures: Kafka or Pub/Sub, schema management (Avro/Protobuf, schema registries), and data contracts between producing services and the platform</li><li>
Track record of establishing data governance and quality practice that engineers actually follow &mdash; compatibility policies, CI gates, lineage, and documentation</li><li>
Strong analytics leadership: building metrics layers, BI adoption, and experimentation practices that change how a business makes decisions</li><li>
Executive-grade communication &mdash; you can defend an architecture decision to engineers in the morning and a budget to the CFO in the afternoon</li><li>
Bonus XP: exposure to ML/AI data infrastructure (feature stores, model telemetry), cybersecurity or gaming/community-driven products, ClickHouse/Druid.</li></ul>
️ What your Hack The Box adventure will have in store:<ul><li>
You'll have the exhilarating opportunity to contribute to a product that is highly appreciated by users and the cybersecurity community at large.</li><li>
You'll experience a highly supportive and caring environment, fostering growth, flexibility, and autonomy.</li><li>
You'll embark on an exciting journey of continuous learning and problem-solving, leveling up as our organization grows.</li><li>
Most importantly, you'll have a blast at HTB because fun is an essential ingredient in our recipe for success! Just wait until you see our global meet-ups!</li></ul>
We also have other benefits that will keep you happy:<ul><li>
Private health care</li><li>
Paid parental leave (4 weeks)
</li><li>25 annual leave days</li><li>
Free lunch &amp; snacks at the office</li><li>
120&euro; Ticket Restaurant by Edenred</li><li>
Dedicated budget for training and professional development, participation in conferences</li><li>
Full access to the Hack The Box lab offerings; so you can learn how to hack
</li><li>State-of-the-art equipment (mac, iPhone, and mobile plan)</li><li>
Flexible WFH (Hybrid Model) - Fully Remote is also an option if you're not an Attica resident
</li><li>Annual childcare allowance to support daycare expenses for parents</li><li>
Access to on-site gym and a variety of group activities, including Cross Training, Pilates, Boxing, and Climbing</li></ul>
Our benefits package is designed to provide strong support to our team, but it may vary depending on location and type of employment (e.g., UK, US, Greece, Australia, or engagement through an Employer of Record or contract).
️ The Quest of Becoming Hack The Box&rsquo;s Director of Data &amp; Analytics at HTB:<ul><li>
Level 1 &mdash; Apply: Submit your application. Tell us why this role excites you and what you&rsquo;d bring.</li><li>
Level 2 &mdash; Talent Screen: A conversation with our Talent Acquisition team to explore your background and ambitions.</li><li>
Level 3 &mdash; A relaxed conversation with your future manager. Think of it as a mutual vibe check.</li><li>
Level 4 &mdash; A real-world scenario that lets you show how you&rsquo;d approach people &amp; technical management with your unique perspective. You&rsquo;ll present your work to a panel of the team &mdash; no trick questions, no gotchas, just a chance to show us how you think and tell a story.</li><li>
Level 5 &mdash; Stakeholder interview : An opportunity to meet with core stakeholders of HTB that you will collaborate closely with</li><li>
Level 6 &mdash; Congratulations! Not many reach this level . Level&rsquo;s objective: have a constructive, final conversation with senior leadership to explore the role and your future at HTB.</li><li>
Level 7 &mdash; You've officially received an offer from HTB! To complete the last level and the Quest, all you need to do is accept the offer.</li><li>
Quest complete. Congratulations, you&rsquo;re officially one of us Your next quest: complete the onboarding.</li></ul>
Hack Your Career, Today. Join us in this epic adventure of cybersecurity at Hack The Box!
At Hack The Box, we are on a quest to find the most exceptional and enthusiastic talent to join our team. Whether or not you consider yourself a gamer, we value what makes you unique and want to know more about you. This job post provides just a glimpse of the incredible gamified experience our business and consumer customers enjoy through our platforms. So, if you're ready to embark on a journey of disruption, growth, and adventure, we can't wait to meet you!
ABOUT HACK THE BOX
Hack The Box is the leading cyber readiness platform for the agentic era, battle-testing and upskilling both humans and AI agents to enhance organizational cyber resilience. Trusted by the Fortune 500, government agencies, and MSSPs, the platform delivers threat-informed learning paths consisting of real-world scenarios in gamified labs and live-fire simulations that build and validate offensive and defensive cyber capabilities. With a loyal community of more than 4 million members and 800+ enterprise customers, Hack The Box empowers teams and intelligent systems alike to strengthen cyber defenses and reduce breach risk effectively.
Rapidly growing its international footprint and reach, Hack The Box is headquartered in the UK, with additional offices in the US, Australia, and Greece.
News &amp; Resources:<ul><li>
We&rsquo;re incredibly proud to share that our headquarters in the UK, along with our entities in Greece and the US, have been certified as a Great Place to Work for 4 consecutive years (2023 - 2026).</li><li>
In addition, our Greek entity has been recognized among the Best Workplaces in Greece (4th, 2nd, 3rd, 1st) and Europe (7th, 10th, 73rd) during this period &mdash; a testament to our strong culture and commitment to creating an exceptional employee experience!</li></ul> 
Take a sneak peek at how it is to be part of HTB. Get more insights about our HTB culture and employee experience by visiting the &ldquo;about us&rdquo; section of our site, our career site, and Glassdoor. 
At Hack The Box, we are committed to fostering a diverse, inclusive, and equitable workplace. We believe that diversity enriches our performance, services, and the communities we serve. As such, we ensure that all job applications are considered solely based on merit, skills, and qualifications. We do not discriminate on grounds of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We are dedicated to providing a fair and respectful work environment that reflects our values.</div>

Director of Data & Analytics

CVS Health

<div>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.
Position Summary
The Lead Director, Business Analytics (Medicare Stars Data Intelligence) is a senior leadership role within the Medicare Stars Data Intelligence organization, responsible for advancing enterprise analytics, driving strategic insights, and enabling data-driven decision-making across the business.
This role leads the synthesis of complex, multi-source data into clear, actionable insights to improve Medicare Stars performance and inform executive strategy. The position plays a critical role in aligning analytics with business priorities, strengthening data governance, and accelerating innovation through advanced analytics and emerging capabilities such as AI-enabled insights.<div></div>
Key Responsibilities
Strategic Analytics &amp; Leadership<ul><li>
Lead the development and execution of analytics strategies that support Medicare Stars performance and enterprise priorities</li><li>
Serve as a trusted advisor to senior leadership, delivering insights that directly influence strategic decisions</li><li>
Translate complex analytical findings into compelling executive-level storytelling</li><li>
Proactively identify opportunities to improve performance through advanced analytics and data-driven recommendations</li></ul>
Data Intelligence &amp; Insights Delivery<ul><li>
Oversee the development of reporting, dashboards, and analytical models to track performance and inform decision-making</li><li>
Drive the synthesis of structured and unstructured data into meaningful insights that support strategic planning</li><li>
Ensure timely delivery of high-quality analytics to support forecasting, trend analysis, and scenario modeling</li><li>
Leverage AI agents and advanced tools to enhance the speed and quality of insight generation for executive stakeholders</li></ul>
Cross-Functional Partnership<ul><li>
Partner across Data Science, Product, Operations, and DDAT teams to align data capabilities with business needs</li><li>
Collaborate with stakeholders to define data requirements and ensure alignment with enterprise priorities</li><li>
Influence cross-functional initiatives by embedding analytics into operational workflows</li></ul>
Data Governance &amp; Quality<ul><li>
Ensure adherence to data governance, compliance, privacy, and security standards</li><li>
Establish processes to validate, monitor, and improve data integrity and reliability</li><li>
Provide leadership in defining best practices for analytics, reporting, and data usage</li></ul>
Innovation &amp; Capability Advancement<ul><li>
Drive the adoption of advanced analytics techniques, including AI/ML, to enhance business insights</li><li>
Identify and implement opportunities to modernize analytics tools, processes, and data capabilities</li><li>
Promote a culture of innovation, continuous improvement, and data literacy within the organization</li></ul>
Qualifications
Required<ul><li>
Bachelor&rsquo;s degree in Informatics, Data Science, Business Analytics, or a related field (or equivalent experience)</li><li>
Significant experience in analytics, informatics, or data-driven leadership roles</li><li>
Proven ability to translate complex data into actionable business insights</li><li>
Experience leading cross-functional initiatives and influencing senior stakeholders</li><li>
Strong expertise in data analysis, reporting, and visualization tools (e.g., SQL, Tableau, Python)</li><li>
Experience in healthcare, Medicare Stars and regulated environments</li></ul><ul><li>
Familiarity with CMS Stars measures, forecasting methodologies, and performance frameworks</li><li>
Experience with cloud-based data platforms (e.g., GCP, Azure, Snowflake)</li><li>
Exposure to AI/ML and advanced analytics techniques</li></ul><div></div>
Other Skills<ul><li>
Project Leadership: Ability to lead complex, multi-threaded initiatives from concept through execution</li><li>
Business Analysis: Strong capability to translate business needs into data-driven solutions and insights</li><li>
AI-Enabled Insight Generation: Experience leveraging AI agents to synthesize large datasets into executive-ready insights</li><li>
Complex Data Queries: Advanced proficiency in querying, manipulating, and analyzing large, complex datasets</li></ul><div></div>
Core Competencies<ul><li>
Strategic thinking and executive presence</li><li>
Data storytelling and influence</li><li>
Cross-functional collaboration</li><li>
Analytical rigor and problem solving</li><li>
Execution and accountability</li></ul><div></div>
Impact of the Role
This role is instrumental in shaping how data is leveraged across the organization to drive Medicare Stars performance. By delivering high-impact insights, strengthening data capabilities, and enabling informed decision-making, the Lead Director will directly contribute to improved outcomes, operational efficiency, and enterprise strategy execution.
Pay Range
The typical pay range for this role is:
$100,000.00 - $231,540.00 
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program. 
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. 
Additional details about available benefits are provided during the application process and on Benefits Moments. 
We anticipate the application window for this opening will close on: 07/12/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

Lead Director, Business Analytics (Medicare Stars Data Intelligence)

Qiddiya Investment Company

<div>The Director - Customer AI &amp; Analytics will lead the strategy, governance, architecture, and delivery of customer data products, customer intelligence platforms, and AI-driven engagement capabilities across Qiddiya.
This role will establish Qiddiya&rsquo;s customer data foundation and enable advanced personalization, audience intelligence, loyalty analytics, revenue optimization, and AI-powered customer engagement across parks, entertainment venues, digital channels, hospitality, retail, ticketing, mobility, and future city services.
The role requires a highly strategic leader with deep expertise in customer data ecosystems, AI enablement, enterprise data platforms, and digital transformation, combined with strong stakeholder management and execution capabilities.
The successful candidate will work closely with Digital, Marketing, Commercial, Customer Experience, IT, Operations, Strategy, and Executive Leadership teams to position customer data as a strategic enterprise asset. 
Key Responsibilities
Customer Data Strategy &amp; Transformation<ul><li>
Define and lead Qiddiya&rsquo;s enterprise Customer Data &amp; AI strategy aligned with business growth, visitor experience, and digital transformation objectives.
</li><li>Establish the long-term roadmap for customer data products, customer intelligence, AI enablement, and monetization opportunities.
</li><li>Build a unified customer data vision across ticketing, CRM, loyalty, mobile applications, digital platforms, attractions, hospitality, retail, mobility, and operational ecosystems.
</li><li>Drive enterprise adoption of customer-centric decision-making and data-driven engagement models.</li></ul> 
Customer 360 &amp; Data Products<ul><li>
Lead the development and evolution of enterprise Customer 360 capabilities and customer master data architecture.
</li><li>Define and oversee customer data products enabling:
</li><li>Visitor insights and segmentation
</li><li>Personalization and recommendation engines
</li><li>Customer lifetime value analysis
</li><li>Revenue and conversion analytics
</li><li>Loyalty and engagement intelligence
</li><li>Cross-channel customer journey analytics
</li><li>Real-time audience intelligence
</li><li>Predictive behavior modeling
</li><li>Partner with Data Engineering and Platform teams to ensure scalable and secure customer data pipelines and architectures.
</li><li>Enable self-service analytics and business consumption of customer intelligence products.</li></ul> 
AI &amp; Advanced Analytics<ul><li>
Lead AI initiatives focused on customer engagement, personalization, operational intelligence, and business optimization.
</li><li>Identify and drive high-value AI use cases including:
</li><li>AI-powered personalization
</li><li>Recommendation engines
</li><li>Conversational AI and intelligent assistants
</li><li>Customer sentiment analysis
</li><li>Dynamic audience targeting
</li><li>Predictive analytics
</li><li>AI-driven campaign optimization
</li><li>Generative AI use cases for customer engagement
</li><li>Collaborate with BI, Data Science, MLOps, and Emerging Technology teams to operationalize AI solutions.
</li><li>Establish AI governance principles aligned with enterprise standards and responsible AI practices.
</li></ul>Leadership &amp; Organizational Development<ul><li>
Build and lead a high-performing Customer Data &amp; AI function within the Data Office.
</li><li>Mentor multidisciplinary teams across analytics, AI, customer intelligence, and data product domains.
</li><li>Foster a culture of innovation, experimentation, agility, and business value realization.
</li><li>Support enterprise data literacy and AI adoption initiatives.</li></ul> 
 
 
Requirements 
Required Experience<ul><li>
12+ years of experience in Data, Analytics, AI, Customer Intelligence, or Digital Transformation domains.
</li><li>Proven leadership experience in enterprise-scale customer data and AI initiatives.
</li><li>Strong experience in Customer 360, CDP, CRM analytics, personalization, and customer intelligence ecosystems.
</li><li>Experience leading large cross-functional programs involving business, technology, and data stakeholders.
</li><li>Strong understanding of modern cloud data platforms and AI/ML ecosystems.
</li></ul><ul><li>Experience in key consumer-oriented industries including Entertainment, Hospitality, Theme Parks, and Retail.</li><li>
Experience managing strategic vendors, implementation partners, and enterprise programs.</li></ul></div>

Director - Customer AI & Analytics

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

<div>As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have a clear goal to become the premium adviser to the middle market, globally. This vision touches everything we do, motivating and inspiring us to become better every day. If you are looking for a firm where you can build a future and make an impact, then RSM is the place for you. 
Make an Impact at RSM UK
At RSM, our consulting team brings together diverse advisory experts to deliver our six core solutions: business transformation, forensic, deal services, restructuring, finance function support, and risk and governance. 
 
Our solutions are designed to address the unique needs, challenges, and opportunities our clients face as they strive to achieve their aspirations and organisational goals. Whether it&rsquo;s supporting global expansion, developing acquisition strategies, facilitating private equity investments, or collaborating with boards to manage risk and governance, our consulting experts work as one cohesive team. We prioritise simplicity, providing data-driven insights, value-added assurance, and high-quality execution to empower our clients in building sustainable, future-fit businesses. 
 
It&rsquo;s an exciting time to join our consulting team, as we embark on ambitious growth plans that promise to create diverse career opportunities. We are committed to enhancing our six solutions, expanding and developing our team of expert consultants, embracing a digital-first approach, strengthening our global presence, and building strong client relationships. 
The Data Engineering &amp; Analytics Associate Director is responsible for establishing and leading the data engineering and analytics capability within the Forensic Technology team. The role combines hands-on technical delivery with team leadership and direct client engagement.
Day-to-day, you will design and build data pipelines, analytical models, and automated forensic testing on Microsoft Fabric and Databricks using Python, PySpark, and SQL.
You will work directly with clients, lawyers, and regulators understanding their problems, proposing data-driven solutions, and delivering through to completion.
You will also be responsible for building the team around you: hiring and mentoring junior staff, setting coding and governance standards, and creating the reusable tools and IP that underpin a scalable, consistent analytics capability. This is a greenfield role therefore, you will contribute to defining how the function operates.
You will make an impact by:
You will help establish the data engineering and analytics function, choosing the patterns, setting the standards, and building the team. You will be responsible for delivering analytics solutions directly to clients from day one.<ul><li>
Designing and building production-grade data pipelines on Microsoft Fabric and Databricks to support forensic investigations, transaction analysis, and red flag testing.</li><li>
Presenting analytical findings directly to clients, lawyers, and regulators as part of live forensic engagements.</li><li>
Setting the technical direction for the team: defining coding standards, peer review processes, data governance practices, and documentation requirements.</li><li>
Leading the strategy to leverage and integrate AI into process and output.</li><li>
Mentoring and developing junior data engineers and analysts, and leading hiring as the team grows.</li><li>
Building reusable forensic analytics tools and templates that make the team faster and more consistent over time.</li><li>
Leading proposals and business development activity for forensic data analytics engagements.</li><li>
Collaborating with analytics professionals across the wider Consulting practice through a community of practice.</li></ul> 
What we are looking for:<ul><li>
Strong experience with Microsoft Fabric or previous Azure Synapse components, Databricks an advantage.</li><li>
Strong Spark, SQL and Python skill.</li><li>
Solid understanding of data pipeline design, data modelling, and data governance.</li><li>
Working experience with Power BI and version control (Git, Azure DevOps or similar).</li><li>
Experience with Alteryx is desirable but not essential.</li><li>
Typically 5+ years in data engineering, analytics, or a closely related role.</li><li>
Experience leading a technical team or workstream, including mentoring junior staff.</li><li>
Ability to work with clients to understand their problems, propose data analytics solutions to address their requirements, and lead the delivery of those solutions from scoping through to completion.</li><li>
Experience in professional services, consulting, or a regulated environment is an advantage particularly in forensic or financial crime specialisms.</li></ul> 
What we can offer you:
We recognise that our people are our most important assets. That&rsquo;s why we offer a flexible reward and benefits package that will help you have fulfilling experience, both in and out of work.<ul><li>
Hybrid working although travel to your local office will be required weekly.</li><li>
27 Days Holiday.</li><li>
Lifestyle, Health, and Wellbeing including financial wellbeing benefits such as financial tools, electric car scheme and access to a virtual GP.</li><li>
Access to a suite of 300+ courses on demand developed by our inhouse Talent Development team.</li></ul> 
Diversity and Inclusion at RSM 
At RSM, we want to create a strong sense of belonging so that people of all identities, backgrounds, and cultures feel they can bring their true self to work. Our clients come from all walks of life. We aim to achieve that same diversity of background, experience and perspective in our own teams, so that we can genuinely understand our client's needs. Diverse teams bring a broader range of ideas and insights to work. That's why we're working together to ensure our firm's principles and processes support a firm culture that embraces difference and strengthens inclusion.</div>

Data Engineering & Analytics Associate Director

Applied Systems

<div>Job Description:<div></div> 
Amazing Career Moments Happen Here
Transforming the insurance industry is ambitious, we know. That&rsquo;s why at Applied, we&rsquo;re building a team that shows up every day ready to learn, willing to try new things, and driven to deliver innovative software and services that make us indispensable to our customers &ndash; all within a culture built on values that make us indispensable to each other too. With 40+ years of experience in the Insurtech game, we&rsquo;re not just redefining what&rsquo;s achievable; we&rsquo;re creating a place where amazing career moments are made possible. 
Position Overview
We&rsquo;re searching for a Director, Product Analytics and Insights to join our Product Operations team; establishing and leading our product analytics function from the ground up and shaping how product investment decisions are made across the business. Reporting to the VP of Product Operations, you will define the KPI framework, analytics strategy, instrumentation approach, and self-service capabilities that enable product managers and leaders to make data-driven decisions. Leveraging Pendo as the core analytics platform, you'll uncover user behavior, identify friction points, and deliver actionable insights that influence roadmap priorities and product outcomes. Working at the intersection of Product, Engineering, Data, and Go-to-Market teams, you'll serve as the owner of the product signal, connecting product performance to broader business results. This is a highly visible role with regular exposure to executive leadership and a unique opportunity to reimagine product analytics through the application of AI, helping transform not only what we build, but how we measure, learn, and innovate.
To keep us headed in the right direction, we&rsquo;re looking for people who understand winning is a team sport, who value and seek to learn from our team&rsquo;s diverse experiences and backgrounds, who welcome a challenge and take risks in the pursuit of creating better outcomes for our customers, and who can, at any given time, step back to laugh and have some fun. 
What You&rsquo;ll Do
<ul><li>Build and lead the product analytics function, establishing the strategy, KPI framework, instrumentation standards, and self-service analytics capabilities that drive data-informed product decisions.</li><li>
Partner with Product leadership to influence roadmap and investment priorities, translating user behavior, adoption trends, workflow analytics, and customer feedback into actionable recommendations.</li><li>
Own and optimize the product analytics ecosystem, leveraging Pendo and other analytics tools to design instrumentation, manage product telemetry, and deliver scalable insights across multiple products.</li><li>
Develop self-service dashboards and reporting solutions that empower Product Managers and leaders to monitor adoption, measure outcomes, and make evidence-based decisions independently.</li><li>
Embed measurement into the product development lifecycle, defining analytics and telemetry requirements for new features and releases to ensure success can be accurately tracked from launch.</li><li>
Analyze product performance and identify growth opportunities, proactively surfacing adoption challenges, user friction points, and emerging trends while measuring customer value, engagement, and business impact.</li><li>
Lead cross-functional analytics initiatives and team development, partnering with Engineering, Data, Go-to-Market, and Executive leaders to connect product outcomes to business results, advance AI-powered analytics capabilities, and build a high-performing analytics team over time.</li></ul> 
We&rsquo;re Excited to Learn More About You
Your experience may include:<ul><li>
8+ years in product analytics (or 3+ years in product/product analytics and 5+ years in business intelligence or data science roles), with at least 5 years in a leadership capacity</li><li>
Track record building high-performing product analytics teams with demonstrable impact on company strategy</li><li>
Deep, hands-on expertise with Pendo. This is non-negotiable. You should be able to design tagging strategies, build guides, configure funnels, and architect Pendo at scale across multiple products</li><li>
Strong working knowledge of SQL and BigQuery. Proficiency in Tableau for visualization and storytelling. Familiarity with data prep tools like Alteryx is a plus</li><li>
You don't need to be a data engineer, but you need to speak the language well enough to write instrumentation specs, discuss event models and schemas, and partner with data platform teams on pipeline decisions</li><li>
Experience building self-serve analytics capabilities for product teams, not just producing reports on request</li><li>
A genuine orientation toward product strategy. You see analytics as an input to what we build, not just a measure of what we built</li><li>
B2B SaaS experience, ideally in a complex, multi-product environment</li><li>
You've built AI-powered analytics workflows, agents, or projects that moved past experimentation into real use and impact, and you're energized by the idea of pushing what's possible</li></ul> 
You may have other skills or credentials, including:<ul><li>
Experience building a product analytics function from scratch rather than inheriting one</li><li>
Comfort working alongside commercial and engineering analytics teams and translating product metrics into language those audiences care about</li><li>
Experience in insurance, financial services, or other vertical software (not required, but you'll ramp faster)</li><li>
Prior experience within a Product Operations function or embedded with a product organization</li></ul> 
We know that talent comes from all backgrounds and experience levels. We encourage military members and their spouses as well as candidates without a degree or a background in tech to apply! 
When You Join Team Applied, You Can Expect: 
A culture that values who you are and recognizes that you aren&rsquo;t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day. 
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them. 
A comprehensive benefits and compensation package that centers our teammates and helps them to bring their best to work every day:
<ul><li>Medical, Dental, and Vision Coverage
</li><li>Holiday and Vacation Time
</li><li>Health &amp; Wellness Days
</li>A Bonus Day for Your Birthday 
<li>
</li></ul>
 
Learn more about the people behind our products at https://www1.appliedsystems.com/en-us/about-us/jobs/ 
Our targeted starting base salary in the United States for this position ranges from $164,000 - $190,000 USD. To determine a new team member&rsquo;s starting pay, we consider a variety of factors, including someone&rsquo;s depth, breadth, and variety of experience, skills, and responsibilities. Depending on the role, team members may also be eligible to participate in additional compensation plans such as bonus and commission. 
Your Security Matters:
 
Our candidates&rsquo; personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers portal. Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. 
AI Utilization
We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. 
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don&rsquo;t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law. 
#LI-Remote
#LI-US</div>

Director, Product Analytics & Insights

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