Clients often ask Forrester to help them define a job description for a business intelligence (BI) / analytics / big data leader, executive, or manager. Here’s what we typically provide:
- Our research on Agile BI organizational structures and Agile Customer Data Management Organizations are a good starting point.
- Because that report doesn’t include a deep dive into individual job descriptions or salaries, you can refer to some great external resources from TDWI and Robert Half International.
Finally, here’s a description of a senior BI architect/manager/executive that we’ve used in the past.
Job title: Director/manager/VP of business intelligence / analytics / big data
Reports to: Chief operations officer, chief strategy officer, chief information officer, chief financial officer (more popular in the past than the present) or some of the newer titles such as chief customer officer, chief data officer, or chief analytics officer.
Job description: The director/manager/VP of BI has primary responsibility for setting the strategy and vision and for managing the day-to-day tactical operations of the BI teams. He/she will be responsible for all strategic, tactical, operational, financial, human, and technical resource managerial responsibilities associated with the following BI and BI-related functional areas:
- Data preparation (sourcing, acquisition, integration)
- Data warehousing (Forrester often recommend that the first two functional areas are managed separately by data management / data preparation team(s))
- BI governance (may be same or separate from Data Governance)
- Reporting, analytics, data exploration
- Information delivery (portals, mobile)
- BI competency center or center of excellence (BICC or BI COE)
- Advanced / predictive analytics (may be part of the same or a different position / department)
- Big data (may be part of the same or a different position / department)
- Optional. Monetizing data and information. Finding ways to leverage existing enterprise data and information in company’s products and services. Especially lucrative in the B2B market segment – selling analytics as a service to partners.
- Enterprise / Corporate Perforamnce Management. Management and governance of strategies, goals, objectices, metrics, KPIs/KPMs. Optionally, enterprise scorecards (Balanced Scorecard, Six Sigma, TQM, etc)
- GRC (Governance, Risk, Compliance) aspects of BI and data management
The director/manager/VP of BI will lead his/her teams by establishing and executing a vision for the delivery of information and analytics platforms and solutions to the business’s key stakeholders, including, internal staff, partners and clients. This position will be ultimately responsible for helping transform the company into a business that truly differentiates and competes on information and analytics.
- Clear understanding and a buy in into the company’s business strategy
- A degree in computer science, mathematics, operations, management, or a related field is required.
- A minimum of X years of progressively responsible experience in a directly related area, during which both professional and management capabilities have been clearly demonstrated.
- Industry/domain skills:
- Extensive expertise in [insert industry- and domain- (finance, HR, sales, marketing, etc) specific verbiage].
- Technical skills:
- Extensive expertise in [insert specific BI and related technical platforms].
- Extensive expertise in data modeling, both logical and physical.
- Extensive experience in multidimensional data modeling, such as star schemas, snowflakes, denormalized models, handling “slow-changing” dimensions/attributes.
- Experience and understanding of a wide variety of analytical processes (governance, measurement, etc.).
- Experiance with relational – SQL – and multidimensional – MDX – query languages
- Experience with agile software development.
- Experience with business driven / self-service BI
- A solid understanding of data security and privacy technologies
- A solid understanding of key BI trends.
- A solid understanding of leading edge technologies and best practices such as Hadoop and Big Data
- A solid understanding of the BI vendor landscape
- A solid understanding of mobile delivery architecture and best practices
- A solid understanding of Customer Experience (CX) technologies
- If the position also covers advanced / predictive analytics – experience with data science, statistical analysis, data mining and predictive algorithms
- General business skills:
- Extensive experience interacting with C-level executives.
- Excellent written and verbal communication skills.
- Excellent presentation skills.
- Experience managing large [global] complex BI projects and teams.
- Proven ability to manage complex vendor, suplier, sub-contractor relationships
- Experiance in building and supporting BI/analytics/big data business cases
- Proven ability to complete projects and achieve results in an ambiguous work environment.
- Proven strong leadership skills within the project team and in the business community.
- Proven ability to establish and articulate a vision, set goals, develop and execute strategies, and track and measure results.
- Proven ability to build and motivate a team to achieve well communicated expectations.
- Proven strong negotiating and consensus building abilities.
- Proven skills to work effectively across internal functional areas in ambiguous situations.
- A solid understanding of data security and privacy laws
- A solid understanding of CX best practices