Chief Data Officer

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. A Technical Account Manager (TAM) will continue to provide hands-on technical services to our largest customers by supporting, adopting and providing guidance over the comprehensive suite of products and features available at Datadog. A TAM is held in high regard as an expert and trusted advisor for how IT Operations translates to business value. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: * Advise on technical support and product adoption for customers in line with pre-sales, post-sales and the renewal processes * Analyze customer’s IT Operations environment on a regular basis and provide recommendations that will maximize Datadog’s value. * Be the customer’s advocate by knowing their goals and use cases then suggesting process changes, product adoption, configuration and additional features to meet their requirements * Participate and prepare for Monthly and Quarterly Business Reviews with customers * Collaborate with Datadog’s product management, engineering and technical services teams to help identify new features and products * Continuously evolve best practice to technical product adoption and customer success Who You Are: * Someone with a solid technical grounding and hands-on experience of IT Operations * Confident in your hands on experience AWS, Azure or GCP * Comfortable scripting languages like Python, Javascript, Ruby, Perl, Go, PHP, or Chef/Puppet etc. * Skilled in using CI/CD tools e.g. Jenkins, Gitlab etc. * Knowledgeable about Containerization tools e.g. Docker, Kubernetes or Rancher etc. * Able to sit up to 4 hours, traveling to and from client sites  * Able to travel via auto, train or air up to 30% of the time * Previous experience working as a TAM supporting mid-market and/or Enterprise customers in the cloud space * Experienced using Datadog and/or other cloud monitoring tools Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: * Best-in-breed onboarding * Generous global benefits * Intra-departmental mentor and buddy program for in-house networking * New hire stock equity (RSUs) and employee stock purchase plan (ESPP) * Continuous professional development, product training, and career pathing * An inclusive company culture, able to join our Community Guilds and Inclusion Talks Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.   Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan. The reasonably estimated yearly salary for this role at Datadog is: $101,000—$147,000 USD ---------------------------------------------------------------------------------------------------------------------------------- About Datadog:  Datadog is the leading observability and security platform for the AI era, providing businesses with unified visibility across the technology stack to manage complexity at scale. It brings applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune 500 companies and high-growth AI leaders, Datadog enables businesses to move faster with clarity and confidence. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. ---------------------------------------------------------------------------------------------------------------------------------- Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference.  Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications.  Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Position Summary: The Chief Data Officer will define and execute the firm’s enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.  Reporting to the Chief Operating Officer, this leader partners closely across business and support areas and owns the firm’s data agenda, including priority use cases, data platforms, and governance. This person ensures data capabilities translate into measurable business impact  and treats data as a business asset with clear ownership, accountability, and value to the firm.  The CDO oversees data governance, engineering, and analytics to deliver a unified view of client and business data.  What you are good at: * Leadership: building and developing high-performing data and analytics teams  * Influence: partnering across business, technology, and field leadership to drive adoption  * Strategy: defining practical data priorities tied to our growth agenda and targeted business outcomes  * Data management: establishing governance, quality standards, and scalable architecture  * Execution: translating data initiatives into usable tools and insights  Responsibilities:  Enterprise data strategy  * Defines and owns the firm’s data agenda, including priority data initiatives and use cases  * Aligns data strategy and investments to business priorities, including recruiting, organic growth, and scalability  * Ensures data investments have measurable outcomes and clear returns on investment  * Establishes a unified view of core data domains (e.g., clients, households, accounts, positions) across platforms  * Prioritizes high-impact use cases that drive adoption and business value   Data governance and quality  * Establishes ownership, standards, and definitions for core data domains  * Defines data ownership across business and technology teams, ensuring accountability for definitions, quality and usage  * Implements a clear data operating model, outlining how and when teams engage the data organization  * Serves as central coordination point for enterprise data efforts, including vendor platform implementations, software development projects, analytics initiatives, and data requests  * Ensures data quality, integrity, and accessibility across key systems  * Implements governance that improves consistency while enabling speed of delivery  * Drives adoption of governance tools and processes (e.g., catalog, lineage, stewardship)  * Ensures compliance with regulatory requirements and manages data-related risks    Data architecture and platform  * Oversees and enhances the firm’s data stores (e.g., warehouse) as core repositories for enterprise data  * Ensures integration across systems such as CRM, custody, planning, and operational data stores  * Drives modular API-first strategy that reduces data sprawl across systems  * Partners with technology teams to embed data in applications and workflows  * Improves data flows to reduce fragmentation and manual processes  Data standards and tooling  * Establishes front-to-back standards for industry-leading data, reporting, and analytics tools  * Rationalizes and streamlines business intelligence and analytics platforms to reduce fragmentation  * Drives convergence toward a focused set of tools with clear use cases and minimal overlap  * Ensures consistent definitions and reporting logic across the organization   Analytics and insights  * Partners with FP&A to deliver dashboards supporting financial and business decision-making  * Delivers actionable insights to improve advisor productivity and client engagement  * Develops reporting that is trusted, usable, and aligned with business needs   Client and advisor enablement  * Embeds data and insights into advisor and business workflows  * Supports client segmentation, personalization, and book analytics  * Drives adoption and holds business partners accountable for usage   Execution and performance management  * Owns business outcomes and value realization for data initiatives  * Defines success metrics and tracks impact on business performance  * Allocates resources to highest-priority initiatives   Leadership and capability building  * Builds and develops high-performing data and analytics teams with deep business expertise  * Increases data literacy across organization through practical enablement  * Oversees sourcing, integration, and effective management of external data  * Manages relationships with external vendors and data providers   Qualifications and experience: * Bachelor’s degree in technology, data, or business; advanced degree preferred  * 15+ years of experience in data, analytics, or technology within financial services  * Wealth management experience preferred, other financial services experience will be considered * Proven ability to build and scale business-focused data capabilities  * Experience with enterprise data warehouses and modern data tools and platforms (e.g., Power BI, Tableau, Snowflake, etc.) * Strong understanding of governance, architecture, and analytics ecosystems  * Experience rationalizing tools and establishing standards  * Experience driving adoption in a decentralized or advisor-led environment  * Familiarity with regulatory and compliance considerations  * Experience partnering with FP&A and technology teams on report and system implementation  * Demonstrated ability to deliver measurable outcomes  * Prior people management experience, including recruitment and retention of top data talent  * Ability to work 3 days a week in Philadelphia office Why work for us? Benefits: Janney believes that its employees are the key to what makes a great company. Although work makes up a large portion of an employee’s life, we believe that a balance between work and non-work activities is essential to maintain quality performance and a positive work atmosphere. We offer a competitive package including Paid Parental Leave, generous Paid Time Off, eligibility for a $2,000 referral bonus, Employee Ownership, and Professional Development Assistance Plan designed to help you make the most of your life at work and at home—today and in the future.  Explore further. [https://www.janney.com/careers/working-at-janney] Janney is an award-winning full-service financial services firm committed to understanding our clients' needs and providing advice beyond investments. We are equally committed to building a diverse workforce and inclusive culture where employees can use their talents to thrive and grow professionally with the firm. Fostering a positive workplace experience remains a top priority. People are our strongest asset. We recognize that when our team members thrive, our firm is more successful.