Amherst is revolutionizing the way U.S. real estate is priced, managed and financed in order to unlock opportunities for all market participants. Driven by data, analytics, and technology, Amherst has a 20-year history of anticipating where the next risks and opportunities are likely to emerge and designing actionable strategies for investors to capitalize on opportunities across residential real estate, commercial real estate and public securities. Amherst, along with its affiliates and subsidiaries, has more than 900 employees, $5 billion under management and approximately $15 billion under advisement and oversight. www.amherst.com.

Responsibilities:

• Lead a team to proactively identify and mitigate data quality issues, and respond to data source changes or outages, as well as escalations from customers and other stakeholders

• Support data expansion by measuring and improving quality as new types of data and new data sources are onboarded

• Monitor key data quality and operational support metrics, as well as customer feedback signals, to identify and advocate for opportunities to create additional value for our stakeholders

• Prioritize data support operations needs based on impact, and an ability to establish trust and improve the overall customer experience

• Partner with Product and Engineering squads to continuously improve the breadth, depth, and capabilities of our data quality monitoring and operational support tooling

• Interface directly with stakeholders and product managers to understand and craft solutions to specific data support needs

• Ensure success of data privacy compliance practices and workflows;

• Nurture productive relationships with cross-functional partners, both internal and external, in an effort to break organization silos and push the work forward.

Service Design, Delivery & Transition:

• Leading the planning service designs, strategy, availability, capacity, security, disaster recovery, and business continuity planning for the data organization

• Leading on the creation and management of support models for new/amended Data Services

• Seeking opportunities to improve service provision

• Working with Service Support to plan the capacity and availability of systems

• Own and lead a Customer Service Improvement Plan (CSIP) for your domain and ensure this is communicated to the relevant stakeholders.

• Own, track and monitor the Data services risk register and ensure necessary risks are communicated to the relevant stakeholders.

• Define, track and report on the service acceptance criteria of new/amended Data services

The Experience You Will Bring:

• Bachelor's Degree with 2+ years in supervisory experience in building and leading data engineering teams

• At least 3 years of industry experience in building data engineering solutions: Ingestion, Curation, Modeling, Persistence, Computation, and Delivery

• Proven Track record of guiding teams through unstructured technical problems to deliver business impact. Demonstrated Ability to translate high-level business objectives into actions. Must be able to reference specific work product in relation to these skills.

• At least 3 years experience at running cross-functional relationships and communicating with leadership across multiple organizations, departments, or capabilities

• Demonstrated understanding of Data Architecture, Data Integration, Data Quality, Data Governance, OLAP, Multi-Dimensional Modeling, and Data Lineage concepts. Must be able to reference specific work product in relation to these skills

• At least 2 years experience in contributing to data governance and security in a data platform

• Demonstrated communication skills to collaborate with multiple Engineering, IT, and business teams. Must have worked in a matrixed environment and provide examples of communication strategy leveraged

• At least 2 years experience working in Agile environments supporting multiple product owners with competing priorities.

What Will Put You Ahead:

• Demonstrated understanding of delivering data solutions and architecture like Spark, Distributed Database platforms, RDBMS, ML Solutions, etc.

• Product management experience in Data Management areas (e.g. Data Governance/Data Quality/Data Integration, ETL, Big Data, Streaming Data) and/or equivalent experience as a Product Manager, Technical Lead, and has handled data from various sources (raw, transactional, real-time, streaming, etc.)

• Experience in Enterprise data projects (ingestion, pipeline, integration, etc.)

• Experience with the use of Statistical Process Control (SPC) to monitor and control the data analytics pipeline

• Experience working with a variety of database technologies.(e.g. relational, non-relational, timeseries, multi-dimensional…SQL Server, Presto, Postgres, HIVE, or Snowflake, etc.)

• Experience in working with residential and commercial real estate data products

​Amherst is proud to be an Equal Opportunity Employer and committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, national origin, gender, pregnancy, sexual orientation, gender identity, age, physical or mental disability, genetic information or veteran status, and encourage all applicants to apply.