Goal templates — Data Science — P3
Data Science & Analytics · Data Science · P3 — Mid-Level Professional
These are canon-derived frames, not advice: every line is either verbatim JobFrame canon text or a fixed template wrapping it. ⟨target⟩ / ⟨baseline⟩ / ⟨date⟩ are placeholders for the manager to fill in. Nothing here is generated by AI — rows are omitted, never invented, when the canon lacks the underlying field.
SMART goals
One row per canon core output / responsibility this level owns.
JFM responsibility (P3)
Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery.
- Specific
- Deliver: "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery."
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence."
- Relevant
- Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P3)
Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review.
- Specific
- Deliver: "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review."
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence."
- Relevant
- Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P3)
Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation.
- Specific
- Deliver: "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation."
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence."
- Relevant
- Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P3)
Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations.
- Specific
- Deliver: "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations."
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence."
- Relevant
- Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional.
- Time-bound
- ⟨date⟩
JFM responsibility (P3)
May coordinate the activities of junior data scientists contributing to a shared project.
- Specific
- Deliver: "May coordinate the activities of junior data scientists contributing to a shared project."
- Measurable
- Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩.
- Achievable
- Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence."
- Relevant
- Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional.
- Time-bound
- ⟨date⟩
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1. Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery. [source: JFM responsibility (P3)] Specific: Deliver: "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery." Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence." Relevant: Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional. Time-bound: ⟨date⟩ 2. Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review. [source: JFM responsibility (P3)] Specific: Deliver: "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review." Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence." Relevant: Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional. Time-bound: ⟨date⟩ 3. Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation. [source: JFM responsibility (P3)] Specific: Deliver: "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation." Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence." Relevant: Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional. Time-bound: ⟨date⟩ 4. Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations. [source: JFM responsibility (P3)] Specific: Deliver: "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations." Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence." Relevant: Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional. Time-bound: ⟨date⟩ 5. May coordinate the activities of junior data scientists contributing to a shared project. [source: JFM responsibility (P3)] Specific: Deliver: "May coordinate the activities of junior data scientists contributing to a shared project." Measurable: Move the metric this drives from ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩. Achievable: Scoped to this level's jfm complexity/problem-solving rubric: "Evaluates identifiable factors across ambiguous, wider-scope problems and selects approaches with day-to-day independence." Relevant: Advances the Data Science & Analytics · Data Science mandate for a P3 — Mid-Level Professional. Time-bound: ⟨date⟩
OKRs
Objectives from this level's core outputs; key results only where a real dimension or capability backs them.
JFM responsibility (P3)
Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery.
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery."
- Evidence at this level's scope bar: "Features or a sub-system end-to-end" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P3)
Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review.
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review."
- Evidence at this level's autonomy bar: "Works independently on standard work; reviewed on the non-standard" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P3)
Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation.
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation."
- Evidence at this level's complexity bar: "Diverse problems; adapts existing approaches" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P3)
Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations.
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations."
- Evidence at this level's impact bar: "Project / team outcomes" — ⟨target⟩ by ⟨date⟩
JFM responsibility (P3)
May coordinate the activities of junior data scientists contributing to a shared project.
- From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "May coordinate the activities of junior data scientists contributing to a shared project."
- Evidence at this level's decision rights bar: "Owns implementation decisions for own scope" — ⟨target⟩ by ⟨date⟩
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Objective 1: Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery. [source: JFM responsibility (P3)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery." KR2. Evidence at this level's scope bar: "Features or a sub-system end-to-end" — ⟨target⟩ by ⟨date⟩ Objective 2: Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review. [source: JFM responsibility (P3)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review." KR2. Evidence at this level's autonomy bar: "Works independently on standard work; reviewed on the non-standard" — ⟨target⟩ by ⟨date⟩ Objective 3: Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation. [source: JFM responsibility (P3)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation." KR2. Evidence at this level's complexity bar: "Diverse problems; adapts existing approaches" — ⟨target⟩ by ⟨date⟩ Objective 4: Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations. [source: JFM responsibility (P3)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations." KR2. Evidence at this level's impact bar: "Project / team outcomes" — ⟨target⟩ by ⟨date⟩ Objective 5: May coordinate the activities of junior data scientists contributing to a shared project. [source: JFM responsibility (P3)] KR1. From ⟨baseline⟩ to ⟨target⟩ by ⟨date⟩ — tied to: "May coordinate the activities of junior data scientists contributing to a shared project." KR2. Evidence at this level's decision rights bar: "Owns implementation decisions for own scope" — ⟨target⟩ by ⟨date⟩
MBO areas
Key result areas from this level's responsibilities, each with a standard grounded in the canon leveling rubric where one exists.
| Area | Standard | Target | Due |
|---|---|---|---|
| Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery. | Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." | ⟨target⟩ | ⟨date⟩ |
| Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review. | Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." | ⟨target⟩ | ⟨date⟩ |
| Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation. | Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." | ⟨target⟩ | ⟨date⟩ |
| Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations. | Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." | ⟨target⟩ | ⟨date⟩ |
| May coordinate the activities of junior data scientists contributing to a shared project. | Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." | ⟨target⟩ | ⟨date⟩ |
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1. Area: Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery. [source: JFM responsibility (P3) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." Target: ⟨target⟩ Due: ⟨date⟩ 2. Area: Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review. [source: JFM responsibility (P3) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." Target: ⟨target⟩ Due: ⟨date⟩ 3. Area: Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation. [source: JFM responsibility (P3) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." Target: ⟨target⟩ Due: ⟨date⟩ 4. Area: Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations. [source: JFM responsibility (P3) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." Target: ⟨target⟩ Due: ⟨date⟩ 5. Area: May coordinate the activities of junior data scientists contributing to a shared project. [source: JFM responsibility (P3) — reused, no distinct responsibility content] Standard: Consistent with this level's jfm knowledge-application rubric: "Independently applies the full modeling lifecycle — framing, feature engineering, model construction, validation — to diverse business problems." Target: ⟨target⟩ Due: ⟨date⟩
Scorecard
Only perspectives with real canon backing are shown — no Financial or Customer perspective, since nothing in the canon grounds business-financial or customer measures for a role alone.
Internal process
- "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery."→ ⟨target⟩ by ⟨date⟩
- "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review."→ ⟨target⟩ by ⟨date⟩
- "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation."→ ⟨target⟩ by ⟨date⟩
- "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations."→ ⟨target⟩ by ⟨date⟩
- "May coordinate the activities of junior data scientists contributing to a shared project."→ ⟨target⟩ by ⟨date⟩
Role calibration
- Meets the scope bar: "Features or a sub-system end-to-end"→ ⟨target⟩ by ⟨date⟩
- Meets the autonomy bar: "Works independently on standard work; reviewed on the non-standard"→ ⟨target⟩ by ⟨date⟩
- Meets the complexity bar: "Diverse problems; adapts existing approaches"→ ⟨target⟩ by ⟨date⟩
- Meets the impact bar: "Project / team outcomes"→ ⟨target⟩ by ⟨date⟩
- Meets the decision rights bar: "Owns implementation decisions for own scope"→ ⟨target⟩ by ⟨date⟩
- Meets the leadership bar: "Mentors juniors informally"→ ⟨target⟩ by ⟨date⟩
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Internal process - "Understands a business problem and independently designs and leads an entire analysis or model from framing to delivery." → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P3)] - "Handles ambiguous problems with wider scopes, exercising day-to-day autonomy over how projects are run with milestone review." → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P3)] - "Constructs machine learning models and the full pipeline of data collection, cleaning, feature engineering, and validation." → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P3)] - "Networks with senior professionals and stakeholders to scope diverse problems and translate findings into recommendations." → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P3)] - "May coordinate the activities of junior data scientists contributing to a shared project." → ⟨target⟩ by ⟨date⟩ [source: JFM responsibility (P3)] Role calibration - Meets the scope bar: "Features or a sub-system end-to-end" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Scope)] - Meets the autonomy bar: "Works independently on standard work; reviewed on the non-standard" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Autonomy)] - Meets the complexity bar: "Diverse problems; adapts existing approaches" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Complexity)] - Meets the impact bar: "Project / team outcomes" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Impact)] - Meets the decision rights bar: "Owns implementation decisions for own scope" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Decision rights)] - Meets the leadership bar: "Mentors juniors informally" → ⟨target⟩ by ⟨date⟩ [source: level dimension (Leadership)]