• Lead the strategy, roadmap and engagement initiatives for the core data visualization and data preparation ecosystem (BigQuery, Looker, and Looker Studio). • Guide the adoption cycle and curation of conversational data solutions (conversational analytics/CA) as a layer that provides agility and technology agnosticism. • Design, track, and evolve the directorate's scorecard of value and efficiency indicators, translating telemetry and analytical logs (e.g., reuse rates, autonomy and usage fidelity) into clear executive reports. • Drive planned cleanup and decommissioning of obsolete or idle analytical products at the edge, reducing clutter and noise in the environment. • Oversee team-built products, including Environment Cost Monitoring and Auditing and an AI-based Tools Migration Accelerator. • Lead alignment rituals and problem-discovery sessions with data leaders to ensure the roadmap solves the Group's real analytical bottlenecks.

• Partner with Trade leaders to solve complex business problems using data, analytics, and quantitative decision-making • Translate ambiguous business questions into analytical frameworks • Develop AI-powered tools and workflows • Serve as a trusted advisor to business stakeholders • Design and deploy Agentic AI solutions via APIs • Rapid hypothesis generation, statistical analysis, experimentation, forecasting • Communicate clear recommendations that drive measurable business outcomes

Role Description We are seeking a Data Scientist to bridge the worlds of real estate acquisitions and data science. This role is ideal for someone with hands-on experience in multifamily commercial real estate, including: - Building pro formas - Analyzing deals - Leveraging market intelligence from sources such as CoStar, Yardi Matrix, and RealPage Market Analytics The successful candidate will apply those skills to build innovative data-driven products for investors. As part of the ApartmentIQ Explore Pro team, you will work closely with leadership, product, and engineering to design and deliver new features that make multifamily investment insights more actionable. This is an opportunity to help shape how institutional investors access and evaluate multifamily market data while building the next generation of investment tools. Responsibilities - Research and experiment with multifamily datasets to identify opportunities for new product features and insights. - Partner with product managers and engineers to define requirements and design data-driven capabilities for ApartmentIQ Invest Pro. - Translate acquisitions workflows into scalable tools and features for institutional investors. - Apply large language models (LLMs) and other AI techniques to accelerate research, automate workflows, and unlock new insights from structured and unstructured market data. - Act as a subject matter expert on multifamily acquisitions, ensuring the product reflects real-world investor needs. - Create clear documentation, dashboards, and analyses to communicate findings and product opportunities. - Stay current on multifamily industry trends, data sources, AI/ML advances, and investment methodologies. Qualifications - 3–5 years of experience in multifamily commercial real estate, with a strong background in underwriting, deal analysis, and pro forma modeling. - Proven experience using key market data sources such as CoStar, Yardi Matrix, or RealPage Market Analytics. - Strong quantitative and analytical skills with proficiency in SQL. - Experience applying large language models (LLMs) or AI/ML techniques to accelerate research, automate analysis, or extract insights from data. - Familiarity with modern data science practices, including model building, experimentation, and validation. - Experience collaborating across teams (investment, product, engineering, data science). - Strong business acumen and ability to translate investor workflows into product features. - Excellent communication skills with the ability to explain complex data insights to technical and non-technical stakeholders. - Entrepreneurial mindset: comfortable in a fast-paced, product-building environment. Bonus Skills - Proficiency in Python, R, or similar. Benefits - Remote-First: Enjoy the flexibility of remote work, balanced with high-energy in-person offsites to build real connections and celebrate our wins together. - Competitive Compensation: Receive a competitive salary that reflects your impact and expertise. - Paid Time Off: Flexible vacation policy and dedicated paid parental leave to support you and your family’s biggest milestones. - Your Health Matters: High-quality Medical, Dental, and Vision insurance plans for you and your family. - Peace of Mind (On Us): 100% company-paid Short-Term Disability, Long-Term Disability, and Basic Life Insurance. - Protection for Your Whole Crew: Access supplemental insurance for the unexpected, plus specialized coverage for your pets. - Invest in Your Future: 401k Program to help you build for the long term while you help us build the company.

Role Description The Practice Leader, Data, AI & Analytics Strategy is responsible for setting the vision, direction, and commercial success of the firm's Data & Analytics consulting capability. This leader oversees a portfolio of client engagements and a multi-level team, ensuring data, analytics, and AI are used to solve real, near-term pharma client problems. The Practice Leader shapes how data strategy is developed, how complex data is interpreted, and how insights are translated into business decisions across the entire consulting business. The role combines strategic leadership, commercial accountability, and hands-on client engagement, and is accountable for practice growth, talent development, delivery quality, and cross-functional partnership. Core Responsibilities - Practice Strategy & Direction: - Define and evolve the Data, AI & Analytics consulting strategy aligned to client demand and enterprise priorities. - Establish a clear point of view on: - How data and analytics should be used to address pharma client questions. - Where analytics creates value now. - Ensure the practice remains client-led, insight-driven, and commercially grounded. - Translate business problems into scalable and repeatable AI solutions. - Client Advisory & Thought Partnership: - Serve as a senior trusted advisor to pharma and biotech clients. - Guide clients in: - Framing business problems solvable through data and analytics. - Understanding what data is available and how best to use it. - Interpreting complex, imperfect datasets to drive decisions. - Maintain close proximity to client teams - credible in their language, pressures, and timelines. - Balance strategic perspective with practical, actionable recommendations. - Commercial Growth & Market Impact: - Own practice level growth, pipeline contribution, and sales targets. - Lead and support opportunity shaping, proposal development, and analytical storytelling in client pitches. - Support a quick and repeatable selling cycle, focused on: - Immediate client needs. - Tangible analytics use cases. - Pragmatic solutions with clear ROI. - Partner closely with Consulting and Commercial leadership to expand accounts and build durable analytics led revenue streams. - Delivery Excellence & Analytics Leadership: - Ensure delivery teams leverage analytics effectively to: - Answer client questions. - Generate insight, not just outputs. - Inform recommendations and decisions. - Guide complex analytics efforts focused on: - Data synthesis. - Interpretation across sources. - Insight development - not technology platform construction. - Ensure consistently high quality, defensible, and decision-ready client deliverables. - People Leadership & Capability Building: - Lead, develop, and retain a multi-layered analytics and consulting team, including Directors, MDs, Managers, and individual contributors. - Build a scalable, high impact practice team across architecture, data science, and consulting embedded in real client work. - Foster collaboration across Consulting, Technology, Commercial, and Clinical partners. - Build a strong culture of ownership, pragmatism, and teamwork. Qualifications - MBA or a graduate degree in a life sciences field. - Known authority in the market in a particular industry function or domain; able to leverage external network to improve profitable revenues and market positioning. - A strong history of successfully selling, delivering, and growing revenues. - Demonstrated new business experience, from organic growth to RFI/RFP planning, development, and execution. - Demonstrated competency in building high performing, customer-focused teams. - Financial acumen in business planning and forecasting. - 12-15+ years of experience in life sciences consulting, strategy, and/or analytics. - Experience leveraging AI in support of data strategy, advanced analytics, and decision-driven problem solving. - Proven track record of: - Leading consulting practices or large capability areas. - Driving commercial growth through client-led analytics work. - Managing and developing senior consulting leaders. - Deep understanding of pharma and life science industry. - Strong ability to connect data strategy to client decision making. - Demonstrated success operating in mid-size consulting environments where leaders must balance strategy, sales, and delivery. What Success Looks Like - A well-defined, respected Data & Analytics consulting practice with clear market relevance. - Strong, sustained analytics led revenue growth. - Clients view the firm as a go-to partner for applied, decision-driven analytics. - Data strategy is seen as a core enabler of Consulting impact, not a parallel technical function. Benefits - Competitive compensation package. - Health benefits to include Medical, Dental, and Vision. - Company match 401k. - Flexible paid time off (PTO) and sick time.