SVP, Engineering & Data Architecture
Horizon Media
Job Description
Horizon Media, IT Division
The SVP of Engineering, Data Architecture, owns the creation of a roadmap for design, development and operationalization of a high-quality data strategy including data architecture, infrastructure, processes, data quality framework - driven by the current and strategic operational and analytical business information needs organization-wide, and is based on formal concepts, principles, and techniques.
The SVP manages and evolves the current data strategy & architecture towards this vision. We have multiple independent and competing data architectures, including the central one for which this role will be responsible. As the company culture is entrepreneurial and client driven (agency life), there will likely always be multiple stacks and experiments going on. However, the SVP of Engineering, Data Architecture in IT will work with IT and the business leadership to determine what should be housed in the centralized data architecture and what services and connectors we should provide to users and technical solutions throughout the organization.
The centralized architecture focuses on scalability, governance, compliance, standardization and preventing data disparity. The SVP fosters data as a critical business resource for growth.
The SVP is empowered to assess current architecture and resources and redesign for and implement success according to their vision and overall data strategy. The SVP will be supported by the IT organization in collaborating with all arms of the business. We have assessed the current architecture and associated business process and functions, built initial tools to improve the current use cases and made considerable progress in preparing to be a tech & data leader in the media industry.
The SVP will also be empowered to look at build vs. buy options and licensing for commodity type components and services. The IT organization has over the last few years successfully constructed a companywide IT infrastructure and data governance practice, and the company will empower this SVP to do the same with data architecture.
The SVP will lead the design and development of a scalable, battle tested data architecture powered by a team empowered to follow best practices to make this happen. There will also be plenty of opportunities to make the best use of emerging technology including intersectional cloud computing, machine learning/AI and the data science practices already proven to work well for consumers and brands which are finally making their way into the media strategies of brands.
Horizon is privately owned and the largest independent media agency in the world. It has made its mark over time by delivering quality results, creating long term customer relationships, adeptly reading downtowns and investing in tech and centralization where necessary to scale. Horizon has just received a considerable round of private funding from investors to drive acquisitions in tech and business to expand Horizon business growth.
Current stack & key technologies: AWS, Snowflake, Databricks, Airflow, Python, SQL, Machine Learning & AI, leading data management & migration tools
Stack opportunities for migration/evolution: Future tech stack should evolve to align with firm/business unit’s overall data strategy and vision, to best support company’s objectives including operations and growth. Future tech stack should be modern, nimble, configurable, low maintenance, cost effective and should be able to support needs of the company and its various clients (sometimes in a multi/hybrid cloud environment).
Responsibilities:
- Data Infrastructure and Technology: own the data lifecycle from ingestion to usability including robust data infrastructure, ensuring data quality, accessibility, and security. Evaluate and implement appropriate data science tools, platforms, and technologies to streamline processes and enhance data-driven marketing capabilities.
- Stakeholder Collaboration: Work closely with cross-functional teams, including marketing, sales, product, and finance, to understand their business needs and translate them into data-driven solutions. Collaborate with IT and business leaders to formulate short term solutions and then strategy over time.
- Present in collaboration with IT org and business leaders to senior executives and stakeholders in a clear and compelling manner.
- Industry Trends and Best Practices: Stay up-to-date with the latest advancements in marketing analytics, data science methodologies, AI and data software solutions. Identify opportunities for innovation and continuous improvement within the marketing data science function and build out next-gen capabilities.
Requirements:
- Strong engineering leadership skills with experience having built and managed growing and evolving teams. You will have license to make necessary decisions.
- Work collaboratively with product, operations, business leads, compliance and finance.
- Proficiency in programming languages such as Python, R, or SQL, along with experience in working with large-scale databases and data manipulation.
- Experience with data visualization and reporting tools, such as Tableau, Spark Notebooks, Databricks or Power BI.
- Familiarity with marketing automation platforms, CRM systems, and digital analytics tools is a plus
- Expertise in introducing and evolving statistical modeling, machine learning, data mining, and predictive analytics.
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Horizon Media is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Salary Range
$250,000.00 - $500,000.00A successful applicant’s actual base salary may vary based on factors such as individual’s skill sets, experience, training, education, licensure/certifications, and qualifications for the role. As an organization, we take an aptitude and competency-based hiring approach. We provide a competitive total rewards package including a discretionary bonus and a variety of benefits including health insurance coverage, life and disability insurance, retirement savings plans, company paid holidays and unlimited paid time off (PTO), mental health and wellness resources, pet insurance, childcare resources, identity theft insurance, fertility assistance programs, and fitness reimbursement.