Market Data Strategy & Analytics Lead
About the role
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world? Each and every role throughout our organization makes a difference in our ability to change the world for the better. HDR’s eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. The position may be based in Omaha, NE, with additional locations in Phoenix, AZ; Philadelphia, PA; San Francisco, CA; Atlanta, GA; Austin, TX; Miami, FL; Denver, CO; Nashville, TN; Los Angeles, CA; New York, NY; Minneapolis, MN; Seattle, WA; Washington, DC; Dallas, TX; San Diego, CA; Houston, TX; Columbus, OH; and Detroit, MI.
Responsibilities
- Develop and refine a market research strategy in partnership with the Director of Marketing and Growth; Strategy and Market Development Director; Collaborative Growth team; and technology and financial stakeholders to support proactive identification of market and geographic expansion opportunities.
- Direct and manage research, objective market data assessment projects and tools that harness client and competitor intelligence, leading indicators of sector-and geographic growth, and other economic, geopolitical, technology innovation, and public opinion factors.
- Responsible for data quality, integrity, and security within the team and cross-functionally.
- Consider, select, jointly develop, deploy and govern predictive models, machine-learning algorithms, and statistical analysis to identify trends, risks, and early indicators of opportunity supporting enterprise growth goals.
- Collaborate closely with financial planning, financial operations, global technology, enterprise transformation, and AI teams.
- Synthesize and align information from multiple sources to inform business outcomes and support enterprise decision-making.
- Select and manage research platform accounts for optimal use case, data accuracy, and return on investment.
- Develop, direct, manage, and adapt business intelligence dashboards for in support of Market Sector, Region, Area, Business Group, and Executive Leaders.
- Support and inform pursuit and campaign strategy, client service, and competitive positioning.
Requirements
- Master's degree in Data Science, Statistics or Statistical Analysis, Applied Mathematics, Engineering, Analytics, or related field.
- 15 years of experience in data science, advanced analytics, machine learning, or predictive modeling, and forecasting with preference to A/E industry.
- 5 years of experience leading data analytics teams.
- Demonstrated success implementing machine learning and AI solutions that generate measurable business value.
- Successful development of effective business intelligence dashboards that align with growth goals and objectives.
- Experience with data service and warehousing platforms such as AlphaSense, Dodge Analytics, Global Data, CB Insights, S&P, Snowflake, and similar, and API integrations.
- Deep knowledge of the A/E industry’s standard approach to procurement of professional services.
- Demonstrated ability to lead and manage cross-business collaboration efforts.
- Demonstrated experience in collaboration with Area, Region, Market Sector, Business Group, and Corporate leadership teams.
- Excellent communication skills.
Benefits
We provide a comprehensive benefits package that promotes employee ownership, employee health, performance, and success, which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time away, parental leave, paid holidays, a retirement savings plan with employer match, employee referral bonus and tuition reimbursement. (Stated benefits are for full-time regular positions. Temporary and part-time roles eligible for limited benefits.)
Pay
The expected compensation range for this position is $140,000-$160,000 depending on skills, experience, and education.
Schedule
Full-time